16 Data Science jobs in Colorado Springs

We are seeking a highly skilled Data Science Strategist to lead our team of experts in the field of Artificial Intelligence and Machine Learning. As a key member of our organization, you will be responsible for developing and implementing cutting-edge data-driven solutions that drive business value and inform strategic decision-making.

Your primary focus will be on leading cross-functional teams to identify, scope, and translate complex business problems into actionable insights using advanced statistical, machine learning, simulation, and optimization techniques. You will work closely with senior leaders to ideate, valuate, and scope projects that meet business needs and drive revenue growth through automation, expense reduction, and risk mitigation.

You will also manage the team's model inventory, ensuring compliance with industry standards, regulatory expectations, and organizational policies. Your expertise in influencing the future of data science at our organization will be crucial in conducting research on the latest technologies and driving adoption of those technologies.

In addition, you will have the opportunity to partner with enterprise analytical and IT teams to build core capabilities and processes that enable our organization to stay ahead of the curve in terms of data science innovation.

This is an exceptional opportunity for a seasoned data science leader who can bring their expertise and passion for driving business outcomes through data-driven insights.

• Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline;
• 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 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 commonly associated with delivery of Data Science solutions;
• 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;
• Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.

We offer a comprehensive benefits package that includes:

• Comprehensive medical, dental, and vision plans;
• 401(k) and pension plan;
• Life insurance and disability coverage;
• Parental benefits and adoption assistance;
• Paid time off program with paid holidays and 16 paid volunteer hours;
• Variety of wellness programs to support physical, financial, and emotional well-being.

This position requires the ability to travel up to 20% of the time. We offer relocation assistance for this position. Interested candidates are encouraged to apply today.

We are creating Artificial Intelligence/Machine Learning (AI/ML) algorithms to significantly improve our defensive capabilities for advanced, maneuvering missile threats. These algorithms are the foundation of microservices that are being integrated into large command and control (C2) programs of record.

The Lockheed Martin Realm AI team is looking for an AI/ML engineer who is passionate about cutting-edge AI research, physics and defense. The Realm AI team is a research and development team located in Colorado Springs, CO that applies modern optimization and machine learning algorithms to some of our customers' most complex and challenging problems. Our team specializes in non-linear stochastic optimization, deep learning, reinforcement learning and high-performance computation applied to advanced missile defense. The selected candidate will primarily be working to extend and refine AI algorithms to new problems and domains. The selected candidate will be required to work onsite in Colorado Springs and must be able to obtain a security clearance. An ideal candidate will have experience in building, fine-tuning and testing AI algorithms for real-world problems. Additionally, an ideal candidate will be proficient in python, NumPy and one or more deep learning libraries. Experience in physics simulation is also desired.

At Lockheed Martin, we are driven by innovation and integrity, and we are excited to bring cutting edge technology to our customers & their missions. This position requires working within an Agile DevSecOps environment. We adhere to standard Agile methodologies including sprint meetings (stand-up, review, retrospective, and planning), planning poker and backlog grooming. DevSecOps experience is required and working knowledge of Gitlab CI/CD is a plus. The candidate must be able to obtain a DoD SECRET clearance. Some domestic travel may be required, but it will be minimal.

Our customers are world-wide and so is our reputation for creating original solutions with the latest technologies. Our products keep our customers safe and bring them home to their families at night. We provide the resources, inspiration, and focus - if you have the resourcefulness and perseverance to work hard, then we want to create a better tomorrow with you. In this role you will collaborate with a diverse team of highly skilled and motivated engineers spanning the Systems, Software, and Hardware functions.

Are you looking for an exciting opportunity to do technical innovation? If you have the passion, drive, and courage to dream big, then we want to build a better tomorrow with you. Come and experience your future! Do you want to be part of a culture that inspires employees to think big, innovate, perform with excellence, and build incredible products? You'll find a place with Lockheed Martin.

Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.

Basic Qualifications:

• Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree.
• Strong background in math and/or algorithm development
• Strong Python programming experience
• Experience with common software development and management tools such as Git, Nexus, JIRA, Confluence, VSCode and Jupyter
• DevSecOps experience including CI/CD pipelines to build, test, and deploy
• Effective oral and written communication skills

Desired Skills:

• Solid understanding of optimization and machine learning principles
• NumPy and SciPy experience
• Proficiency with one or more python deep learning libraries
• Experience with physical modeling, simulation and differential equations
• Client and server-side development experience
• Experience with microservices designs and web APIs
• Missile defense domain experience
• Containerization experience (Docker, Kubernetes, Helm Charts)
• Experience with Risk Management Framework/STIG/Fortify mitigation

Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret

Other Important Information You Should Know:

• Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.
• Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
• Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
• Schedule for this Position: 4x10 hour day, 3 days off per week
• Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $132,900 - $234,370. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
• Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible.
• Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
• The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

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 USAAs tooling, expanding the companys 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.

• 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:

• 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.
• 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Masters, 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 U

We now have an exciting opportunity for a Senior Data Scientist specializing in algorithm architectures to join the Maximus AI Accelerator supporting the enterprise at large. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.

You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. Additionally, you will be responsible for supporting the development of new and novel algorithms that ensure the responsible deployment of AI across the enterprise and support the development of data driven decision making methodologies. This role requires strong systems thinking, problem-solving abilities, mathematics, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.

This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)

Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.
- Develop mathematically rigorous process improvement procedures.
- Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

What You Will Do:

- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.

- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.

- Develop mathematically rigorous process improvement procedures.

- Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.

- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):

- Professional Programming experience (e.g. Python, R, etc.)

- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.

- Experience with API programming

- Experience with Linux

- Experience with Statistics

- Experience with Linear Algebra and Calculus

- Experience applying mathematical principles to real world problems

- Experience with Machine Learning

- Experience working as a contributor on a team

Minimum Education requirement:

- BS in a quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.)

Years of Required Work-Related Experience:

- 3+ yrs experience in Artificial Intelligence and Machine Learning

- 3+ yrs experience in Software Development

- 3+ yrs of Mathematical Modeling

Required Certifications:

- None

Minimum Requirements

- Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience.

Preferred Key Skills and Abilities (not contractually required):

- Masters in quantitative discipline

- Experience developing machine learning or signal processing algorithms:

- Ability to leverage mathematical principles to model new and novel behaviors.

- Ability to leverage statistics to identify true signals from noise or clutter

- Experience working as an individual contributor in AI

- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.

- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles

- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.

- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.

- Use of a variety of programming languages, including but not limited to Python/Java and frontend frameworks for POC demos and dashboarding

- Use and development of program automation, CI/CD, DevSecOps, and Agile

- Experience with deep learning model architecture development and philosophy

- Cloud certifications (AWS, Azure, or GCP)

- 5+ yrs of related experience in AI, advanced analytics, computer science, mathematical modeling, or software development.

- Python Experience with TensorFlow, PyTorch, and Pandas

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Minimum Salary

$

123,440.00

Maximum Salary

$

180,000.00

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.

• 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.