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Data Science Product Manager Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 ...

Varsity Tutors

Data Science Tutor

Bowie, MD · 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

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 ...

Varsity Tutors

Data Science Tutor

Laurel, MD · 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 ...

VivSoft Technologies

Product Manager

Springfield, VA · On-site

$170K - $180K/yr

Product Manager/Data Science Security Clearance: TS/SCI Work Location : Onsite, Springfield, VA Type: Full-Time About VivSoft: VivSoft is a mission-driven technology company specializing in Cloud ...

VivSoft Technologies LLC

Product Manager

Springfield, VA · On-site

$170K - $180K/yr

Product Manager/Data Science Security Clearance: TS/SCI Work Location : Onsite, Springfield, VA Type: Full-Time About VivSoft: VivSoft is a mission-driven technology company specializing in Cloud ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ... Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ... Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval ...

Blend360

Marketing Data Science Manager

Columbia, MD

$125K - $160K/yr

... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ... Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval ...

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All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in Washington

Data Science Product Manager information

See Washington salary details

$58.3K

$180.5K

$223.1K

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

As of Jul 28, 2026, the average yearly pay for data science product manager in Washington is $180,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,700.00 and $223,100.00 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 is the hottest job of the 21st century?

Data Science Product Managers are among the most in-demand roles in the 21st century, combining skills in data analysis, product development, and strategic planning. They oversee data-driven products and require knowledge of tools like SQL, Python, and machine learning, often working in fast-paced tech environments. The role is expected to grow as organizations increasingly rely on data to make decisions.

Is 40 too late for data science?

A Data Science Product Manager can enter the field at age 40, as experience, domain knowledge, and skills like programming and statistical analysis are highly valued. Many professionals transition into data science roles later in their careers, and continuous learning through certifications or courses can facilitate this shift. Age is less important than relevant skills and experience in the data science industry.

Can data scientists make $300k?

Data science product managers and senior data scientists with extensive experience, specialized skills, and working in high-cost-of-living areas can earn salaries of $300,000 or more. Achieving this level often requires advanced knowledge of machine learning, strong business acumen, and leadership responsibilities, along with experience at top companies or in executive roles.

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.

Can a data scientist be a product manager?

A data scientist can transition to a product manager role, especially if they develop skills in project management, user experience, and business strategy. While the roles have different focuses—data scientists analyze data and product managers oversee product development—both require strong communication and cross-functional collaboration. Experience with tools like A/B testing, roadmapping, and stakeholder management can facilitate this transition.
What are popular job titles related to Data Science Product Manager jobs in Washington? For Data Science Product Manager jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Product Manager jobs in Washington look for? The top searched job categories for Data Science Product Manager jobs in Washington are:
What cities in Washington are hiring for Data Science Product Manager jobs? Cities in Washington 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 Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $180,541 per year, or $86.8 per hour.
Senior Product Manager (Data Science TS/SCI)

Senior Product Manager (Data Science TS/SCI)

VivSoft Technologies

Springfield, VA • On-site

$132K - $174K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 9 days ago

Job description

About VivSoft
VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in federal space. Our work culture fosters collaboration, creativity, and continuous learning.
Position Overview
The Senior Product Manager / Data Science for the NGA AI/ML Program serves at the intersection of advanced analytics, machine learning, and mission-driven product strategy. This role operates at the forefront of AI and deep learning technologies, enabling transformational outcomes within the National Geospatial-Intelligence Agency’s Digital Intelligence Environment (DIE).
Key Responsibilities
As a Senior Product Manager / Data Scientist on the NGA AI/ML Program, you will:
  • Analyze large, complex datasets to identify patterns, trends, and insights that improve NGA mission capabilities.
  • Work collaboratively within multidisciplinary teams to solve complex, interdependent analytical and operational challenges.
  • Identify high-value data sources and automate data collection, ingestion, and mining processes.
  • Perform preprocessing and feature engineering on structured and unstructured datasets.
  • Translate analytical findings into actionable product insights and recommendations.
  • Provide strategic guidance on the applicability and direction of industry-standard AI/ML solutions.
  • Contribute specialized expertise to define near- and long-term product milestones and roadmaps.
  • Monitor model and product performance, supporting continuous improvement and long-term planning.
  • Evaluate organizational operational and functional baselines using data-driven and industry best-practice approaches.
  • Participate in account strategy sessions, technical reviews, and design reviews to validate enterprise AI/ML approaches.
  • Stay current with emerging AI/ML technologies, research, tools, lessons learned, and best practices, applying them to NGA’s mission environment.
  • Serve as an interface between stakeholders, users, data scientists, and engineering teams.
  • Engage directly with users to uncover underlying needs and validate analytical and product solutions.
  • Collaborate with product managers, program managers, engineers, and external partners to shape product vision and execution.
  • Work closely with software engineering and MLOps teams to deliver scalable, secure, and mission-ready ML solutions.
  • Support the full product lifecycle, from concept and experimentation through deployment, evaluation, and sustainment.
  • Communicate and advocate product and analytical insights to both technical and non-technical audiences.
  • Represent the NGA AI/ML Program at government and industry events as needed.

Required Qualifications
  • Bachelor’s degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related discipline.
  • Strong critical-thinking skills with the ability to support collaborative problem solving in a team-based environment.
  • Experience working in Agile/Scrum environments; familiarity with Agile methodologies or certifications (e.g., Scrum Master).
  • Working knowledge of multiple programming languages and statistical packages, as well as data tooling used in AI/ML environments.
  • Experience analyzing large datasets and applying analytical methods to drive product and mission decisions.
  • Strong analytical and problem-solving skills, with the ability to use data and metrics to inform product strategy.
  • Minimum of 6 months of experience working in or supporting AI-related initiatives.
  • Demonstrated adaptability and curiosity in AI, including continuous learning through research, coursework, workshops, or hands-on experimentation.

Desired Qualifications
  • Master’s degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related field.
  • Relevant certifications in Product Management, Project Management, Agile, or Data Science.
  • Experience leading or contributing to high-performing teams delivering IT or AI-enabled solutions.
  • Deeper familiarity with AI/ML concepts, algorithms, and current industry trends.
  • Experience working in cross-functional environments with data scientists, engineers, vendors, and military professionals.
  • Prior experience supporting joint military, Intelligence Community, or DoD environments.

Benefits:
  • Comprehensive Medical, Dental, and Visions Plans
  • Life Insurance
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
  • 401K Retirement Plan with employer match
  • Professional Development Training Reimbursement
  • Flexible/remote work schedule.

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