2 Predictive Analytics jobs in Colorado Springs
Data Scientist Senior
80932 Colorado Springs, Colorado
USAA
Posted 20 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
Data Science Manager, GenAI, Strategic Analytics - Data Science

80932 Colorado Springs, Colorado
Deloitte
Posted 3 days ago
Job Viewed
Job Description
Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on August 11, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: 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 $113,100-$232,300.
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.
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
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on August 11, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: 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 $113,100-$232,300.
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.
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
Be The First To Know
About the latest Predictive analytics Jobs in Colorado springs !
1