Data Science Manager Jobs in Virginia
Data Science Manager jobs in Virginia are concentrated in the Northern Virginia technology corridor, Richmond, and the Hampton Roads region, where federal agencies, defense contractors, and financial institutions drive consistent demand for leaders who can manage machine learning pipelines, analytics teams, and data governance programs. Booz Allen Hamilton, Capital One, and Leidos maintain large Virginia footprints and regularly hire data science managers with expertise in cloud-native platforms, NLP, and applied AI. The market ranks among the most active in the mid-Atlantic for senior data and analytics leadership. Find a role that fits below and apply directly.
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Showing 5 of 70+ Data Science Manager jobs
Work you'll do
As an AI & Data Science Engineer III on the AI & Data team, you will be responsible for...
- Designing modern data architectures, data pipelines, and workflows using Palantir Foundry and cloud-based technologies
- Building and deploying data engineering solutions that support enterprise transformation and mission-driven outcomes
- Developing analytics products and applications that integrate, transform, and operationalize enterprise data
- Building an application that ingests documents, analyzes their content, and generates recommendations
- Collaborating with cross-functional teams to define requirements, resolve technical issues, and deliver scalable solutions
- Applying DevOps and statistical programming tools to improve data quality, platform performance, and operational efficiency
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- 5+ years of experience in optimization, data science, data manipulation, or data analysis
- 1+ years of experience working with Palantir Foundry
- Secret or higher US Security Clearance Required
- Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- 2+ years of experience with pipeline and application development within Palantir Foundry
- 3+ years of experience in professional services or federal consulting
- Experience translating technical concepts for nontechnical audiences
- Experience evaluating and applying new technologies, products, or libraries
- Experience producing written communications for technical and nontechnical stakeholders
- Experience organizing and managing multiple deliverables
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.
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.
Work you'll do
As an AI & Data Science Engineer III on the AI & Data team, you will be responsible for...
- Designing modern data architectures, data pipelines, and workflows using Palantir Foundry and cloud-based technologies
- Building and deploying data engineering solutions that support enterprise transformation and mission-driven outcomes
- Developing analytics products and applications that integrate, transform, and operationalize enterprise data
- Building an application that ingests documents, analyzes their content, and generates recommendations
- Collaborating with cross-functional teams to define requirements, resolve technical issues, and deliver scalable solutions
- Applying DevOps and statistical programming tools to improve data quality, platform performance, and operational efficiency
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- 5+ years of experience in optimization, data science, data manipulation, or data analysis
- 1+ years of experience working with Palantir Foundry
- Secret or higher US Security Clearance Required
- Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- 2+ years of experience with pipeline and application development within Palantir Foundry
- 3+ years of experience in professional services or federal consulting
- Experience translating technical concepts for nontechnical audiences
- Experience evaluating and applying new technologies, products, or libraries
- Experience producing written communications for technical and nontechnical stakeholders
- Experience organizing and managing multiple deliverables
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.
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.
See All 70 Data Science Manager Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Science Manager JobsData Science Manager Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Data Science Manager Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Capital One15
- Deloitte10
- Information Technology Senior Management Forum10
- University of Virginia6
- Virginia Commonwealth University4
Top Industries Hiring
- Education
- Science & Research
- Banking & Financial Services
- Consulting & Professional Services
What Virginia Employers Look For
The qualifications that appear most often in data science manager jobs across Virginia.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of data science experience with at least two years in a team lead or management role
- Proficiency in Python or R and experience deploying machine learning models in production environments
- Demonstrated ability to translate complex analytical findings into actionable guidance for non-technical stakeholders
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud in an enterprise environment
- Strong project management skills with a history of delivering data products on schedule and within scope
Data Science Manager Jobs in Virginia: Frequently Asked Questions
How do you become a data science manager in Virginia?
The most direct path is a bachelor's or master's degree in a quantitative discipline such as statistics, computer science, or applied mathematics, followed by several years as an individual-contributor data scientist before moving into team leadership. Virginia has no state-issued license or registration specific to data science management. Many Virginia employers, particularly defense contractors in Northern Virginia, also value a security clearance, which becomes an informal differentiator for candidates targeting federal-facing roles.
Which companies hire data science managers in Virginia?
Companies currently hiring data science managers in Virginia include Capital One, Deloitte, and Information Technology Senior Management Forum, per current listings on Migrate Mate as of November 2026. Northern Virginia's concentration of defense contractors, federal consulting firms, and financial services companies makes it one of the most consistent sources of data science leadership openings in the state.
Which Virginia cities have the most data science manager jobs?
McLean, Rosslyn, and Arlington account for the largest share of data science manager openings in Virginia. Northern Virginia dominates because of its dense cluster of federal agencies, defense contractors, and technology companies, while Richmond draws hiring from major financial institutions and healthcare systems, and Hampton Roads openings are largely tied to defense and naval research employers based in the region.
Are there remote data science manager jobs in Virginia?
Yes, and more than most fields. Data science management is largely analytical and communication-based work, making it well suited to remote and hybrid arrangements. About 47% of data science manager openings tied to Virginia are remote or hybrid as of November 2026, with strategy, modeling oversight, and stakeholder reporting being the functions most commonly performed off-site. Roles requiring a security clearance or close collaboration with on-site engineering teams are more likely to require regular in-person presence.
How can I get hired as a data science manager in Virginia with little or no experience?
The most realistic entry path is building management exposure as a senior data scientist or technical lead before applying to formal manager roles. Virginia's large consulting firms, including those concentrated in the Tysons and Reston corridors, regularly hire associate or staff data scientists into project-based environments where leadership opportunities emerge quickly. Building a portfolio of end-to-end ML projects, contributing to open-source repositories, and earning a cloud certification through AWS or Azure adds credibility when competing for first-time manager positions at mid-size Virginia technology and analytics firms.
Where can I find and apply to data science manager jobs in Virginia?
You can find and apply to data science manager jobs in Virginia on Migrate Mate, which lists current Virginia openings updated regularly. Find roles that fit your background and apply directly to the employers posting them.
See All 70 Data Science Manager Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs