8 Data Science jobs in Colorado Springs
Data Scientist Senior
80932 Colorado Springs, Colorado
USAA
Posted 19 days ago
Job Viewed
Job Description
**Why USAA?**
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
**The Opportunity**
The Bank AI/ML team is looking to fill several Senior Data Science positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred.
As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.
This position can work remotely in the continental U.S. with occasional business travel.
**What you'll do:**
+ Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
+ Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
+ Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
+ Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
+ Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
+ Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
+ Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
+ Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
+ Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation.
+ Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
+ Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
+ Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
+ Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
+ Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
**What you have:**
+ Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
+ 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis.
+ 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
+ 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
+ Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
+ Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
+ Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
+ Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
+ Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
+ Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
+ Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
+ Experience guiding and mentoring junior technical staff in business interactions and model building.
+ Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.
**What sets you apart:**
+ Medium or large bank experience.
+ Strong knowledge of Python and/or SAS.
+ Control partner collaboration experience.
+ Knowledge of Model Risk Management, Model Governance, and Regulatory requirements.
**Compensation range:** The salary range for this position is: $143,320 - $273,930 **.**
**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._
_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._
**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**
**Please do not type your first and last name in all caps.**
**_Find your purpose. Join our mission._**
USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.
USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
California applicants, please review our HR CCPA - Notice at Collection ( here.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
**The Opportunity**
The Bank AI/ML team is looking to fill several Senior Data Science positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred.
As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.
This position can work remotely in the continental U.S. with occasional business travel.
**What you'll do:**
+ Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
+ Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
+ Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
+ Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
+ Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
+ Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
+ Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
+ Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
+ Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation.
+ Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
+ Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
+ Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
+ Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
+ Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
**What you have:**
+ Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
+ 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis.
+ 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
+ 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
+ Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
+ Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
+ Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
+ Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
+ Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
+ Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
+ Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
+ Experience guiding and mentoring junior technical staff in business interactions and model building.
+ Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.
**What sets you apart:**
+ Medium or large bank experience.
+ Strong knowledge of Python and/or SAS.
+ Control partner collaboration experience.
+ Knowledge of Model Risk Management, Model Governance, and Regulatory requirements.
**Compensation range:** The salary range for this position is: $143,320 - $273,930 **.**
**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._
_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._
**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**
**Please do not type your first and last name in all caps.**
**_Find your purpose. Join our mission._**
USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.
USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
California applicants, please review our HR CCPA - Notice at Collection ( here.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
Apply Now
0
Head of Data Science and AI Solutions
Colorado Springs, Colorado
USAA
Posted today
Job Viewed
Job Description
Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values honesty, integrity, loyalty and service define how we treat each other and our members. Be part of what truly makes us special and impactful.
The Opportunity
As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the teams projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the teams model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is available for this position.
What you'll do:- Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation.
- Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises.
- Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables teams success by simplifying processes across the model development lifecycle and driving automation.
- Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives.
- Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization.
- Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations.
- Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.
- Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.
- Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
What you have:
- Bachelors degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Masters, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.
- 3 years of direct management experience.
- Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences.
- Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions.
- Experience in developing and reviewing modeling solutions based on broad range of techniques e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
- Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems.
- Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
- A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
- Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.
What sets you apart:
- Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services.
- Strong communication skills with the ability to influence stakeholders and align cross-functional teams.
- Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment.
- Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization.
Compensation range: The salary range for this position is: $189,370 - $361,950.
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
View Now
1
Data Scientist
80932 Colorado Springs, Colorado
Parsons Corporation
Posted 2 days ago
Job Viewed
Job Description
In a world of possibilities, pursue one with endless opportunities. Imagine Next!
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.
**Job Description:**
Parsons has emerged as a leader in the development of cutting-edge solutions for the Department of Defense and Intelligence Community. Our tremendous success can be attributed to our people and our priorities. We hire the best; we make them a priority and we never lose focus on the mission. It's why we're here. We have built this cultural legacy by working closely with analysts and operators to understand their needs and delivering meaningful value through innovative, cost effective and intuitive software solutions.
Our Space Operations directorate is passionate about making America the undisputed leader in Space because we understand that ensuring our nation's security for future generations depends on it. Parsons creates game changing space solutions by teaming highly respected subject matter experts with brilliant technologists. Are you an experienced software engineer looking to grow your skillset and work on a project that has real world impact? Do you want to be part of a team that is helping the government solve major national security challenges in the space domain? We need your help.
Our team is looking for a data scientist with a focus on machine learning and advanced analytical approaches within the Space Domain Awareness mission area. You will work with software engineers and space analysts to develop state-of-the-art solution in pattern of life, anomaly detection, and predictive analysis.
**Required Skills**
+ Bachelor's degree in Data Science, Machine Learning, Computer Science, Mathematics or a related technical field with at least 3 years technical experience. Relevant experience may be accepted in place of a degree
+ Experience with various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.)
+ Experience with various data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.)Experience with data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker)
+ Experience with Python, R, and/or Java programming languages
+ Experience implementing the data science process, developing experiments, reporting and explaining results
+ Familiar with Linux/Unix operating systems
+ Great interpersonal and communications skills, while establishing and maintaining effective work relationships with team members
+ Must be comfortable working in a fast-paced, flexible environment, and take the initiative to learn new tools and concepts quickly.
+ Experience with common CM tools
+ Excellent communication skills, in both spoken and written English
+ Active TS security clearance, with SCI eligibility preferred
+ Must be a US Citizen due to DoD contract
**Desired Skills**
+ Familiarity with Deep Learning libraries (i.e. TensorFlow, Keras, PyTorch, etc.)
+ Experience with Python web technologies (i.e. Dash, Flask, Django, etc.)
+ Familiarity with Natural Language Processing (NLP)
+ Experience with AWS/GovCloud technologies
+ Security+ Certification
+ AWS Practitioner Certification
**Security Clearance Requirement:**
An active Top Secret security clearance is required for this position?
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $86,700.00 - $151,700.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to .
About Us
Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.
**Job Description:**
Parsons has emerged as a leader in the development of cutting-edge solutions for the Department of Defense and Intelligence Community. Our tremendous success can be attributed to our people and our priorities. We hire the best; we make them a priority and we never lose focus on the mission. It's why we're here. We have built this cultural legacy by working closely with analysts and operators to understand their needs and delivering meaningful value through innovative, cost effective and intuitive software solutions.
Our Space Operations directorate is passionate about making America the undisputed leader in Space because we understand that ensuring our nation's security for future generations depends on it. Parsons creates game changing space solutions by teaming highly respected subject matter experts with brilliant technologists. Are you an experienced software engineer looking to grow your skillset and work on a project that has real world impact? Do you want to be part of a team that is helping the government solve major national security challenges in the space domain? We need your help.
Our team is looking for a data scientist with a focus on machine learning and advanced analytical approaches within the Space Domain Awareness mission area. You will work with software engineers and space analysts to develop state-of-the-art solution in pattern of life, anomaly detection, and predictive analysis.
**Required Skills**
+ Bachelor's degree in Data Science, Machine Learning, Computer Science, Mathematics or a related technical field with at least 3 years technical experience. Relevant experience may be accepted in place of a degree
+ Experience with various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.)
+ Experience with various data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.)Experience with data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker)
+ Experience with Python, R, and/or Java programming languages
+ Experience implementing the data science process, developing experiments, reporting and explaining results
+ Familiar with Linux/Unix operating systems
+ Great interpersonal and communications skills, while establishing and maintaining effective work relationships with team members
+ Must be comfortable working in a fast-paced, flexible environment, and take the initiative to learn new tools and concepts quickly.
+ Experience with common CM tools
+ Excellent communication skills, in both spoken and written English
+ Active TS security clearance, with SCI eligibility preferred
+ Must be a US Citizen due to DoD contract
**Desired Skills**
+ Familiarity with Deep Learning libraries (i.e. TensorFlow, Keras, PyTorch, etc.)
+ Experience with Python web technologies (i.e. Dash, Flask, Django, etc.)
+ Familiarity with Natural Language Processing (NLP)
+ Experience with AWS/GovCloud technologies
+ Security+ Certification
+ AWS Practitioner Certification
**Security Clearance Requirement:**
An active Top Secret security clearance is required for this position?
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $86,700.00 - $151,700.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to .
About Us
Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.
View Now
2
Lead Data Scientist
80932 Colorado Springs, Colorado
Deloitte
Posted 2 days ago
Job Viewed
Job Description
Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and working with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you!
The Team:
The GPS GSi group at Deloitte is dedicated to driving innovation and efficiency through advanced data science and business intelligence solutions. Our team collaborates closely with Enabling Area professionals to develop and implement cutting-edge machine learning, deep learning, and generative AI initiatives. We thrive in a dynamic environment where teamwork and independent problem-solving are key to achieving our strategic mission goals. Join us to be part of a small, agile team that is at the forefront of transforming decision-making processes and delivering impactful solutions.
Recruiting for this role ends on July 31st, 2025.
What You'll Do:
As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently, and apply problem-solving skills to resolve complex issues.
+ Lead and participate in developing data science products, transforming client needs into quantifiable solutions.
+ Independently carry out tasks, using critical thinking and problem-solving skills to devise effective solutions.
+ Design, train, and deploy machine learning and deep learning models on platforms like AWS, Databricks, and Dataiku.
+ Develop and advise on Large Language Model (LLM) solutions for enterprise-wide documentation, including RAG, CPT, and SFT.
+ Utilize MLOps pipelines, including containerization (Docker) and CI/CD, for training and deploying models.
+ Write clean, well-commented code for easy collaboration and maintain structured project documentation using GitHub and/or Jira.
Qualifications
Required skills:
+ Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field.
+ 6+ years of experience in data science, with deep knowledge of Python, machine learning, deep learning, and related packages (e.g., sklearn, TensorFlow, PyTorch). Proven ability to lead data science projects from inception to deployment.
+ Strong knowledge of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
+ Familiarity with AWS, Databricks, and/or Dataiku platforms.
+ Working knowledge of MLOps, including containerization (e.g., Docker).
+ Strong organizational skills, with clear project documentation and the ability to write clean code.
+ Familiarity with agile project methodology and project development lifecycle.
+ Experience with GitHub for version control.
+ Ability to manage multiple detailed tasks and responsibilities simultaneously, meeting deadlines and objectives accurately.
+ Must be legally authorized to work in the United States without employer sponsorship, now or in the future.
+ Ability to travel 10%-25%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred Skills:
+ Master's Degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field, or equivalent direct work experience.
+ Significant experience with MLOps and associated serving frameworks (e.g., Flask, FastAPI) and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, Metaflow).
+ Significant experience working with open-source LLMs, including serving via TGI/vLLM and performing Continued Pre-training (CPT) and/or Supervised Fine-tuning (SFT).
+ Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.).
+ Proficiency in basic front-end web development (e.g., Streamlit).
+ Knowledge of Object-Oriented Programming (OOP) concepts.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $179,900
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: EA_GPS_ExpHire, #LI-JK2
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
The Team:
The GPS GSi group at Deloitte is dedicated to driving innovation and efficiency through advanced data science and business intelligence solutions. Our team collaborates closely with Enabling Area professionals to develop and implement cutting-edge machine learning, deep learning, and generative AI initiatives. We thrive in a dynamic environment where teamwork and independent problem-solving are key to achieving our strategic mission goals. Join us to be part of a small, agile team that is at the forefront of transforming decision-making processes and delivering impactful solutions.
Recruiting for this role ends on July 31st, 2025.
What You'll Do:
As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently, and apply problem-solving skills to resolve complex issues.
+ Lead and participate in developing data science products, transforming client needs into quantifiable solutions.
+ Independently carry out tasks, using critical thinking and problem-solving skills to devise effective solutions.
+ Design, train, and deploy machine learning and deep learning models on platforms like AWS, Databricks, and Dataiku.
+ Develop and advise on Large Language Model (LLM) solutions for enterprise-wide documentation, including RAG, CPT, and SFT.
+ Utilize MLOps pipelines, including containerization (Docker) and CI/CD, for training and deploying models.
+ Write clean, well-commented code for easy collaboration and maintain structured project documentation using GitHub and/or Jira.
Qualifications
Required skills:
+ Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field.
+ 6+ years of experience in data science, with deep knowledge of Python, machine learning, deep learning, and related packages (e.g., sklearn, TensorFlow, PyTorch). Proven ability to lead data science projects from inception to deployment.
+ Strong knowledge of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
+ Familiarity with AWS, Databricks, and/or Dataiku platforms.
+ Working knowledge of MLOps, including containerization (e.g., Docker).
+ Strong organizational skills, with clear project documentation and the ability to write clean code.
+ Familiarity with agile project methodology and project development lifecycle.
+ Experience with GitHub for version control.
+ Ability to manage multiple detailed tasks and responsibilities simultaneously, meeting deadlines and objectives accurately.
+ Must be legally authorized to work in the United States without employer sponsorship, now or in the future.
+ Ability to travel 10%-25%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred Skills:
+ Master's Degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field, or equivalent direct work experience.
+ Significant experience with MLOps and associated serving frameworks (e.g., Flask, FastAPI) and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, Metaflow).
+ Significant experience working with open-source LLMs, including serving via TGI/vLLM and performing Continued Pre-training (CPT) and/or Supervised Fine-tuning (SFT).
+ Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.).
+ Proficiency in basic front-end web development (e.g., Streamlit).
+ Knowledge of Object-Oriented Programming (OOP) concepts.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $179,900
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: EA_GPS_ExpHire, #LI-JK2
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
View Now
3
Data Scientist Senior
Colorado Springs, Colorado
USAA
Posted today
Job Viewed
Job Description
Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values honesty, integrity, loyalty and service define how we treat each other and our members. Be part of what truly makes us special and impactful.
The Opportunity
We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.
Relocation assistance is not available for this position.
The Senior Data Scientist - Fraud Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAAs ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes:
- Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts
- Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities
- Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes
- Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits
- Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience
- Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance
- Exports insights to decision systems to enable better fraud targeting and model development efforts
- Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks
- Collaborate with the broader analytics community to share standard methodologies and techniques
What you'll do:
- Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
- Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
- Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
- Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
- Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
- Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
- Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
- Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
- Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation.
- Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
- Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
- Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
- Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
- Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
What you have:
- Bachelors degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 6 years of experience in a predictive analytics or data analysis
- 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
- 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
- Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency).
- Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
- Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
- Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
- Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
- Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
- Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
- Experience guiding and mentoring junior technical staff in business interactions and model building.
- Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.
What sets you apart:
- US military experience through military service or a military spouse/domestic partner
- Graduate degree in a quantitative subject area
- Over 4 years of experience with model development or other advanced fraud detection algorithms
- Over 3 years of experience with graph databases and graph solutions
- Experience in fraud/financial crimes model development
Compensation: The salary range for this position is: $138,230 - $248,810.
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for e
View Now
4
Data Scientist Senior - Fraud Identity Analytics
80932 Colorado Springs, Colorado
USAA
Posted today
Job Viewed
Job Description
**Why USAA?**
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
**The Opportunity**
We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.
Relocation assistance is **not** available for this position.
The **Senior Data Scientist - Fraud Identity Analytics** is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes:
+ Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts
+ Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities
+ Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes
+ Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits
+ Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience
+ Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance
+ Exports insights to decision systems to enable better fraud targeting and model development efforts
+ Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks
+ Collaborate with the broader analytics community to share standard methodologies and techniques
**What you'll do:**
+ Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
+ Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
+ Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
+ Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
+ Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
+ Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
+ Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
+ Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
+ Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation.
+ Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
+ Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
+ Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
+ Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
+ Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
**What you have:**
+ Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
+ 6 years of experience in a predictive analytics or data analysis
+ 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
+ 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
+ Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency).
+ Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
+ Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
+ Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
+ Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
+ Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
+ Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
+ Experience guiding and mentoring junior technical staff in business interactions and model building.
+ Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.
**What sets you apart:**
+ US military experience through military service or a military spouse/domestic partner
+ Graduate degree in a quantitative subject area
+ Over 4 years of experience with model development or other advanced fraud detection algorithms
+ Over 3 years of experience with graph databases and graph solutions
+ Experience in fraud/financial crimes model development
**Compensation:** The salary range for this position is: **$138,230 - $248,810.**
**USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).**
**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._
_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._
**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**
**Please do not type your first and last name in all caps.**
**_Find your purpose. Join our mission._**
USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.
USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
California applicants, please review our HR CCPA - Notice at Collection ( here.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
**The Opportunity**
We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.
Relocation assistance is **not** available for this position.
The **Senior Data Scientist - Fraud Identity Analytics** is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes:
+ Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts
+ Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities
+ Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes
+ Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits
+ Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience
+ Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance
+ Exports insights to decision systems to enable better fraud targeting and model development efforts
+ Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks
+ Collaborate with the broader analytics community to share standard methodologies and techniques
**What you'll do:**
+ Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
+ Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
+ Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
+ Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
+ Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
+ Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
+ Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
+ Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
+ Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation.
+ Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
+ Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
+ Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
+ Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
+ Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
**What you have:**
+ Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
+ 6 years of experience in a predictive analytics or data analysis
+ 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
+ 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
+ Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency).
+ Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
+ Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
+ Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
+ Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
+ Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
+ Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
+ Experience guiding and mentoring junior technical staff in business interactions and model building.
+ Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.
**What sets you apart:**
+ US military experience through military service or a military spouse/domestic partner
+ Graduate degree in a quantitative subject area
+ Over 4 years of experience with model development or other advanced fraud detection algorithms
+ Over 3 years of experience with graph databases and graph solutions
+ Experience in fraud/financial crimes model development
**Compensation:** The salary range for this position is: **$138,230 - $248,810.**
**USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).**
**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._
_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._
**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**
**Please do not type your first and last name in all caps.**
**_Find your purpose. Join our mission._**
USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.
USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
California applicants, please review our HR CCPA - Notice at Collection ( here.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
View Now
5
Data Scientist Lead - Bank AI/ML
80932 Colorado Springs, Colorado
USAA
Posted 2 days ago
Job Viewed
Job Description
**Why USAA?**
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
**The Opportunity**
The Data Scientist Lead will work closely with the Data Science Director to ensure that AI/ML modeling solutions are successfully developed and implemented. This will involve supervising multiple projects/initiatives, providing technical expertise, ensuring quality results, and mentor and leading Senior and Junior Data Scientists.
Through cross-team collaboration, the lead works to understand business problems to formulate and coordinate AI/ML solutions in the Consumer Lending, Bank Operations, and Automation space. A Lead Data Scientist is expected to have a consulting mentality and be a subject matter expert in model building, communication, and leadership.
As a dedicated Data Scientist Lead, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. The person will use database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, expanding the company's library of internal packages and applications. The incumbent will work with model risk management to validate the results and stability of models before being pushed to production at scale.
We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is available for this position.
**What you'll do:**
+ Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business.
+ Leads and conducts advanced analytics using machine learning, simulation, and optimization to deliver business insights and achieve business objectives.
+ Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
+ Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
+ Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences.
+ Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research efforts.
+ Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are clear and based on the highest quality data.
+ Assists team with translating business request(s) into specific analytical questions, driving analysis and/or modeling, and presenting outcomes to non-technical business colleagues with a focus on business action and recommendations.
+ Leads project portfolio achievements, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed.
+ Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
+ Interacts with internal and external peers and management to maintain expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
+ Serves as a mentor to data scientists in modeling, analytics, computer science, eye for business, and other social skills.
+ Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture.
+ Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
**What you have:**
+ Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
+ 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative subject area and 6 years of experience in predictive analytics or data analysis.
+ 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
+ 4 years of experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
+ Experienced ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code clarity).
+ Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
+ Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
+ Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
+ Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
+ Project management experience that demonstrates the ability to anticipate and appropriately lead project achievements, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation.
+ Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc.
+ Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
+ Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building.
+ Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
+ A consistent track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
+ Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization.
**What sets you apart:**
+ Extensive model building experience (preferably in banking) covering a variety of AI/ML and traditional statistical modeling approaches.
+ Extensive hands-on experience preparing data and code for modeling.
+ Experience with the entire model lifecycle, including conceptualization, development, implementation, validation, and ongoing performance monitoring.
+ Experience working directly with clients, customers, or internal business partners.
+ Experience leading client or customer relationships and expectations, including senior leadership.
**Compensation range:** The salary range for this position is: $164,780 - $314,960 **.**
**USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).**
**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._
_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._
**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**
**Please do not type your first and last name in all caps.**
**_Find your purpose. Join our mission._**
USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.
USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
California applicants, please review our HR CCPA - Notice at Collection ( here.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
**The Opportunity**
The Data Scientist Lead will work closely with the Data Science Director to ensure that AI/ML modeling solutions are successfully developed and implemented. This will involve supervising multiple projects/initiatives, providing technical expertise, ensuring quality results, and mentor and leading Senior and Junior Data Scientists.
Through cross-team collaboration, the lead works to understand business problems to formulate and coordinate AI/ML solutions in the Consumer Lending, Bank Operations, and Automation space. A Lead Data Scientist is expected to have a consulting mentality and be a subject matter expert in model building, communication, and leadership.
As a dedicated Data Scientist Lead, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. The person will use database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, expanding the company's library of internal packages and applications. The incumbent will work with model risk management to validate the results and stability of models before being pushed to production at scale.
We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is available for this position.
**What you'll do:**
+ Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business.
+ Leads and conducts advanced analytics using machine learning, simulation, and optimization to deliver business insights and achieve business objectives.
+ Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
+ Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
+ Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences.
+ Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research efforts.
+ Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are clear and based on the highest quality data.
+ Assists team with translating business request(s) into specific analytical questions, driving analysis and/or modeling, and presenting outcomes to non-technical business colleagues with a focus on business action and recommendations.
+ Leads project portfolio achievements, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed.
+ Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
+ Interacts with internal and external peers and management to maintain expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
+ Serves as a mentor to data scientists in modeling, analytics, computer science, eye for business, and other social skills.
+ Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture.
+ Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
**What you have:**
+ Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
+ 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative subject area and 6 years of experience in predictive analytics or data analysis.
+ 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
+ 4 years of experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
+ Experienced ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code clarity).
+ Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
+ Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
+ Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
+ Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
+ Project management experience that demonstrates the ability to anticipate and appropriately lead project achievements, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation.
+ Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc.
+ Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
+ Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building.
+ Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
+ A consistent track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
+ Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization.
**What sets you apart:**
+ Extensive model building experience (preferably in banking) covering a variety of AI/ML and traditional statistical modeling approaches.
+ Extensive hands-on experience preparing data and code for modeling.
+ Experience with the entire model lifecycle, including conceptualization, development, implementation, validation, and ongoing performance monitoring.
+ Experience working directly with clients, customers, or internal business partners.
+ Experience leading client or customer relationships and expectations, including senior leadership.
**Compensation range:** The salary range for this position is: $164,780 - $314,960 **.**
**USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).**
**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._
_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._
**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**
**Please do not type your first and last name in all caps.**
**_Find your purpose. Join our mission._**
USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.
USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
California applicants, please review our HR CCPA - Notice at Collection ( here.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
View Now
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6
Director Data Scientist - Bank AI/ML (Model Development)
80932 Colorado Springs, Colorado
USAA
Posted 2 days ago
Job Viewed
Job Description
**Why USAA?**
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
**The Opportunity**
As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies.
We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance **is** available for this position.
**What you'll do:**
+ Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation.
+ Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises.
+ Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation.
+ Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives.
+ Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization.
+ Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations.
+ Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.
+ Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.
+ Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
+ Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
**What you have:**
+ Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
+ 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.
+ 3 years of direct management experience.
+ Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences.
+ Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions.
+ Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
+ Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems.
+ Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
+ A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
+ Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.
**What sets you apart:**
+ Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services.
+ Strong communication skills with the ability to influence stakeholders and align cross-functional teams.
+ Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment.
+ Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization.
**Compensation range:** The salary range for this position is: $189,370 - $361,950 **.**
**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._
_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._
**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**
**Please do not type your first and last name in all caps.**
**_Find your purpose. Join our mission._**
USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.
USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
California applicants, please review our HR CCPA - Notice at Collection ( here.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
**The Opportunity**
As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team's projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies.
We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance **is** available for this position.
**What you'll do:**
+ Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation.
+ Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises.
+ Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation.
+ Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives.
+ Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization.
+ Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations.
+ Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.
+ Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.
+ Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
+ Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
**What you have:**
+ Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
+ 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.
+ 3 years of direct management experience.
+ Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences.
+ Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions.
+ Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
+ Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems.
+ Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
+ A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
+ Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.
**What sets you apart:**
+ Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services.
+ Strong communication skills with the ability to influence stakeholders and align cross-functional teams.
+ Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment.
+ Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization.
**Compensation range:** The salary range for this position is: $189,370 - $361,950 **.**
**Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
**Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
_Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._
_USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._
**If you are an existing USAA employee, please use the internal career site in OneSource to apply.**
**Please do not type your first and last name in all caps.**
**_Find your purpose. Join our mission._**
USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.
USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
California applicants, please review our HR CCPA - Notice at Collection ( here.
USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
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