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Head Data Science Jobs in Virginia (NOW HIRING)

Head of Software Engineering

Charlottesville, VA ยท On-site

$145 - $178/hr

  • Medical

  • Dental

  • Vision

  • PTO

... scientific discovery, telescope operations, data management, and Observatoryโ€‘wide services. The Head of Software Engineering oversees the Division's programmatic direction, personnel management ...

Science Teacher

New Kent, VA ยท On-site

$44K - $57K/yr

Work is performed on site in schools under the moderate supervision of the Department Head/Head ... Required Performance Aptitudes Data Utilization: Requires the ability to review, classify ...

SAR Scientist

Dulles, VA ยท On-site

  • Medical

  • Dental

  • Life

  • Retirement

We value both heart and head, the diversity of our people, and their experiences because that is ... Data Science). * 6+ years demonstrated experience. * Active Top Secret Clearance with SCI ...

SAR Scientist

Dulles, VA ยท On-site

  • Medical

  • Dental

  • Life

  • Retirement

We value both heart and head, the diversity of our people, and their experiences because that is ... Data Science). * 6+ years demonstrated experience. * Active Top Secret Clearance with SCI ...

MS Science Teacher

New Kent, VA ยท On-site

$44K - $57K/yr

Work is performed on site in schools under the moderate supervision of the Department Head/Head ... Required Performance Aptitudes Data Utilization: Requires the ability to review, classify ...

Spectral Scientist

Dulles, VA ยท On-site

  • Medical

  • Dental

  • Life

  • Retirement

We value both heart and head, the diversity of our people, and their experiences because that is ... Data Science). * 6+ years demonstrated experience. * Active Top Secret Clearance with SCI ...

Spectral Scientist

Dulles, VA ยท On-site

  • Medical

  • Dental

  • Life

  • Retirement

We value both heart and head, the diversity of our people, and their experiences because that is ... Data Science). * 6+ years demonstrated experience. * Active Top Secret Clearance with SCI ...

Head of Credit - International Cards

Arlington, VA ยท On-site

$180 - $240/hr

  • Medical

  • Retirement

... Head of Credit to lead our international credit card operations, with responsibility for our ... Collaborate with Data Science teams on model development, enhancement, and innovation * Support ...

Showing results 21-40

Head Data Science information

See Virginia salary details

$21.9K

$107.1K

$198.4K

How much do head data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for head data science in Virginia is $107,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,351.00 and $144,907.00 per year, depending on experience, location, and employer.

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in Virginia?

The most popular types of Data Science jobs in Virginia are:

What cities in Virginia are hiring for Head Data Science jobs?

Cities in Virginia with the most Head Data Science job openings:

Infographic showing various Head Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $107,099 per year, or $51.5 per hour.

Applied Geospatial ML Engineer with Security Clearance

Vantor

Herndon, VA โ€ข On-site

Other

Retirement

Re-posted 17 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level. Do you have a head for numbers and enjoy being an integral part of solving mission-critical, real-world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We're seeking an experienced AI/ML engineer to work across the full analytical workflow-from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation. Responsibilities: * Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on GEOINT) to design, implement, and evaluate machine learning solutions
* Engineer and transform diverse data types to support all phases of the AI/ML workflow
* Architect, develop, and integrate novel AI/ML models (e.g., semantic activity detection, geospatial analytics, signal processing, and computer vision)
* Design, implement, and assess various geospatial AI/ML solutions across hardware and software stacks
* Stay current on AI/ML advances from industry and academia, applying them to government mission challenges
* Provide subject matter expertise, mentoring, and strategic advice to government and internal teams on AI/ML trends, approaches, and delivery strategies
* Communicate progress, results, risks, and challenges to government clients, partners, and project leadership
* Support program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrations Minimum Qualifications: * Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.
* B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field
* 5+ years designing, developing, testing, and deploying AI/ML models across diverse data types
* Minimum 2 years of experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio)
* Experience working with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-based data streams and familiarity with government collection platforms.
* Experience with modern development practices, including version control, and CI/CD
* Strong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail
* Competence with Linux environments Preferred Qualifications: * Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, or a related field
* Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent
* Experience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches
* Ability to design and implement compute hardware and infrastructure solutions to support both client and backend AI/ML applications Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $185,000.00 - $228,000.00 Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.