11 Data Science jobs in Colorado Springs

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.

• 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.

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

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

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.