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Data Science Product Manager Jobs in Virginia (NOW HIRING)

Capital One

Manager, Data Science

Mclean, VA · On-site

Exercising discretion at a more senior level, partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Exercising discretion at a more senior level, partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad ...

Gartner

Director, Data Science

Arlington, VA · Remote

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

Gartner

Director, Data Science

Arlington, VA · On-site

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

Varsity Tutors

Data Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Richmond, VA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Charlottesville, VA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

... management capabilities. * Develop scalable data architectures, metadata enrichment pipelines ... Develop dashboards, visualizations, reports, and analytical products that communicate insights to ...

Varsity Tutors

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in Virginia

Data Science Product Manager information

See Virginia salary details

$51.1K

$158K

$195.3K

How much do data science product manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science product manager in Virginia is $158,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,800.00 and $195,300.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.

What are popular job titles related to Data Science Product Manager jobs in Virginia?

For Data Science Product Manager jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Science Product Manager jobs in Virginia look for?

The top searched job categories for Data Science Product Manager jobs in Virginia are:

What cities in Virginia are hiring for Data Science Product Manager jobs?

Cities in Virginia with the most Data Science Product Manager job openings:

Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $158,037 per year, or $76 per hour.

Senior Data Science Product Manager

Axiologic Solutions LLC

Springfield, VA

$132K - $174K/yr

Full-time

Posted 2 days ago

New

Job description

Based in Northern Virginia, Axiologic Solutions LLC, has an opportunity for you to become part of our high-quality team that delivers innovative solutions to key federal clients. We are currently seeking a Senior Data Science Product Manager to support our growing team.

Position Overview:

The Senior Level Product Manager/Data Science for the customer's AI/ML Program plays a critical role in the intersection of technology and strategy. This individual will operate at the forefront of AI and deep learning technologies, championing transformational changes within the Digital Intelligence Environment (DIE) of our customer.

Responsibilities:

  • Analyze large amounts of data to find patterns and recommend solutions that will improve the clients' capabilities. Work will require working in teams to solve large, complex problems to achieve interrelated and interdependent objectives.
  • Identify valuable data sources and automate mining/collection processes. Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of data/information to discover and articulate trends and patterns.
  • Provide strategic insight and advice concerning the direction and applicability of industry-standard solutions.
  • Offer specialized expertise to facilitate the development of comprehensive methods for defining present and future strategic product milestones.
  • Monitor all facets of product performance, and assist in the formulation of long-term plans.
  • Utilize industry-specific knowledge to evaluate an organization's operational and functional baseline.
  • Participate actively in account strategy sessions, strategic assessments, and design reviews to validate enterprise approaches and associated work products.
  • Stay abreast of developments within their field of expertise and apply them to the client environment, encompassing emerging technologies, lessons learned, best practices, and assessment methodologies.
  • Serve as an interface connecting stakeholders, users, and the development team. Attend industry and government events to discuss technical details related to the customer's AI/ML program.
  • Engage with users and customers to discern and comprehend their underlying needs.
  • Collaborate with both internal and external stakeholders, including product and program managers, to formulate a product vision and roadmap that aligns with the NGA AI/ML Program's objectives.
  • Work in close coordination with software engineering teams to fulfill user needs and construct user experiences that meet the standards expected by the Intelligence Community, Department of Defense (DoD), and government workforce.
  • Support the entire product development lifecycle, from conceptualization and design to implementation and evaluation, particularly for moderately complex product development efforts.
  • Effectively communicate, educate, and advocate the vision and goals of new products, both internally and externally.

 Required:

  • Bachelor's degree in a relevant field such as Computer Science, Math, Engineering, Information Technology, Business, or a related discipline.
  • Active TS/SCI CI or TS/SCI with ability to obtain a CI if required by customer.
  • Critical thinkers that are comfortable supporting collaborative problem solving in a team environment
  • Agile/scrum experience, and familiarity with Agile methodologies or certifications, such as Scrum Master
  • Has working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML)
  • Analytical and problem-solving skills, with the ability to use data and metrics to drive product decisions.
  • 6+ months of experience in AI space
  • Adaptive Learning & AI Curiosity: The candidate should possess a relentless passion for learning and self-improvement, particularly in the AI domain. They should demonstrate a proven track record of proactively seeking out new knowledge, adapting to the ever-evolving landscape of artificial intelligence, and applying fresh insights to their work. Familiarity with the latest AI research, participation in relevant courses or workshops, and a willingness to pivot in response to new technological advancements are essential.

Desired:

  • Relevant certifications or additional education in Product Management, Project Management, or a related field are a plus.
  • Lead high-performing teams delivering IT solutions.
  • AI/ML Familiarity, an understanding of AI/ML concepts, algorithms, and current trends.
  • Cross-functional collaboration, experience working with diverse teams, such as data scientists, engineers, vendors, and military professionals.
  • Experience working in a joint military environment.
  • A Master's Degree in a relevant field such as Computer Science, Math, Engineering, Information Technology, Business, or a related discipline
Employment Type: full-time

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