1

Data Science Product Manager Jobs in Reston, VA (NOW HIRING)

Data Science SME

Quantico, VA ยท On-site

$119K - $133K/yr

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and ... data management. * Experience developing data pipelines analytical workflows and repeatable ...

Manager of Data Science

Arlington, VA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ... production. What you will need: 8 years of relevant experience required. * Experience in data ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.

Lead Specialist, Federal Data Science

Mclean, VA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build / manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration / model management in cloud environment; cluster large amount of ...

Senior Data Architect

Washington, DC ยท On-site

$76.25 - $102/hr

Partner with data science, product, and engineering leadership. * QUALIFICATIONS : * 8+ years in data engineering/architecture, 3+ as an architect. * Deep expertise in AWS, Azure, or Google Cloud ...

Showing results 41-60

Data Science Product Manager information

See Reston, VA salary details

$53.7K

$166.1K

$205.3K

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

As of Aug 19, 2026, the average yearly pay for data science product manager in Reston, VA is $166,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,000.00 and $205,300.00 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.

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.

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.

What are popular job titles related to Data Science Product Manager jobs in Reston, VA?

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

What cities near Reston, VA are hiring for Data Science Product Manager jobs?

Cities near Reston, VA with the most Data Science Product Manager job openings:

Infographic showing various Data Science Product Manager job openings in Reston, VA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $166,143 per year, or $79.9 per hour.

Data Science SME

JCTM, LLC

Quantico, VA โ€ข On-site

$119K - $133K/yr

Full-time

Re-posted 5 days ago


Job description

The Challenge:

The effective use of data is central to preparing Marine Corps forces for the future operating environment. What if you could apply your data science expertise to help the Marine Corps Warfighting Lab identify opportunities to improve situational awareness, decision-making, and operational effectiveness across the Marine Air-Ground Task Force?

Build Your Career:

At JCTM we value knowledge experience integrity and commitment. Joining our team means becoming part of an organization that empowers individuals prioritizes ethical practices and fosters a culture of collaboration and growth.

Challenging Projects:

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and leadership in the application of data science methodologies tools and techniques to advance Marine Corps warfighting concepts and capabilities. This position requires a deep understanding of data science principles strong analytical and problem-solving skills and the ability to translate complex data into actionable insights for operational and senior leader audiences. You will support the Marine Corps Warfighting Lab in identifying evaluating and applying emerging data-driven technologies to improve MAGTF effectiveness.

Key Responsibilities:

  • Serve as the primary technical expert on data science methodologies tools and techniques for MCWL projects initiatives experiments and exercises.
  • Identify and evaluate emerging data science technologies and assess their potential application to Marine Corps warfighting challenges.
  • Develop and implement data-driven solutions to improve MAGTF operational effectiveness including predictive analytics machine learning and artificial intelligence applications.
  • Design execute and optimize data collection processing and analysis pipelines while ensuring data quality integrity governance and security.
  • Develop and apply advanced analytical methods to extract meaningful insights from large structured and unstructured datasets.
  • Collaborate with data engineers software developers cloud engineers operational planners and other technical experts to build deploy and evaluate data-driven solutions.
  • Communicate complex technical concepts findings and recommendations to both technical and non-technical audiences including senior military leaders.
  • Conduct research and analysis on relevant data science topics maintaining awareness of the latest developments trends tools and techniques.
  • Support the development of data science training programs and knowledge-sharing activities for Marine Corps personnel.
  • Participate in war games experiments exercises and other operational assessments to evaluate the effectiveness of data-driven capabilities.
  • Provide expert advice and guidance on data governance data security data privacy and responsible use of artificial intelligence and machine learning capabilities.
  • Maintain awareness of and compliance with all applicable data security regulations policies and classification requirements.
  • Integrate data science capabilities with cloud-based infrastructure platforms and modern analytics environments.
  • Travel to various locations as required to support MCWL projects initiatives experiments and operational activities.

State-of-the-Art Technology:

Expand your expertise by working with cutting-edge technologies and methodologies optimizing their application in a dynamic environment.

New Skills:

Collaborate with a diverse team of technical and functional experts gaining practical experience with advanced tools technologies and strategic-level implementations.

Room to Grow:

You will have opportunities to grow your career and contribute to the company's strategic goals supported by mentorship and a collaborative work environment.

You Have:

  • Bachelor's degree in Computer Science Data Science Mathematics Statistics or a related technical field.
  • 5+ years of experience applying data science methodologies tools and techniques to solve real-world problems.
  • Demonstrated expertise in data mining machine learning statistical modeling predictive analytics and data visualization.
  • Experience working with large datasets distributed computing platforms and modern analytics environments.
  • Strong understanding of data governance data security privacy principles and responsible data management.
  • Experience developing data pipelines analytical workflows and repeatable processes to support decision-making.
  • Ability to translate complex data and technical findings into actionable insights for operational technical and senior leader audiences.
  • Excellent communication presentation analytical and interpersonal skills.
  • Ability to work independently and as part of a multidisciplinary team in a mission-focused environment.
  • Knowledge of the Marine Corps MAGTF organization operations and warfighting concepts.
  • U.S. Citizenship.
  • Ability to travel up to 25% in support of mission requirements.

Nice to Haves:

  • Active TS/SCI security clearance.
  • Master's or Doctoral degree in Computer Science Data Science Mathematics Statistics Operations Research or a related technical field.
  • Experience with cloud-based data science platforms and cloud-native analytics tools.
  • Experience with artificial intelligence machine learning model development and deployment.
  • Experience with natural language processing.
  • Prior military experience particularly within the Marine Corps.
  • Familiarity with Marine Corps data systems processes experimentation environments and operational planning activities.

Clearance:

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; TS/SCI clearance is desired.

Equal Opportunity Employer Statement:

JCTM is an Equal Opportunity Employer that empowers our people to fearlessly drive internal and external change while supporting the safety and security of our great nation.