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Data Science Project Manager Jobs in Alexandria, VA

... science toolkits and analytics to support various projects, ensuring effective visualization and management of data. Responsibilities : • Experience with data science toolkits, data analytics and ...

Manage data science projects from conception through deployment, ensuring timely and high-quality delivery * Collaborate with cross-functional teams to identify business needs and develop data-driven ...

... Manage data science projects from conception through deployment, ensuring timely and high-quality delivery • Collaborate with cross-functional teams to identify business needs and develop data ...

... Manage data science projects from conception through deployment, ensuring timely and high-quality delivery • Collaborate with cross-functional teams to identify business needs and develop data ...

Manage data science projects from conception through deployment, ensuring timely and high-quality delivery * Collaborate with cross-functional teams to identify business needs and develop data-driven ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

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

Ten (10) years' experience managing the entire data science project lifecycle: from problem definition and data collection to model deployment and communication of findings. Education: * Master ...

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Data Science Project Manager information

See Alexandria, VA salary details

$18

$61

$85

How much do data science project manager jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data science project manager in Alexandria, VA is $61.55, according to ZipRecruiter salary data. Most workers in this role earn between $53.27 and $72.02 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

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

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are popular job titles related to Data Science Project Manager jobs in Alexandria, VA?

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

What job categories do people searching Data Science Project Manager jobs in Alexandria, VA look for?

The top searched job categories for Data Science Project Manager jobs in Alexandria, VA are:

What cities near Alexandria, VA are hiring for Data Science Project Manager jobs?

Cities near Alexandria, VA with the most Data Science Project Manager job openings:

Infographic showing various Data Science Project Manager job openings in Alexandria, VA as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $128,027 per year, or $61.6 per hour.

Senior Project Manager - Data Science Services

Jobtailor

Washington, DC • On-site

$150 - $190/hr

Other

Posted 6 days ago


Job description

  • Lead the data science services contract team in providing analytical support to address complex business questions and mission needs
  • Meet with program leaders, government stakeholders, and technical teams to identify priorities, understand business processes, and guide delivery of innovative data analysis techniques
  • Collaborate with data scientists, analysts, engineers, architects, and application developers to support development of data science reports, machine learning models, dashboards, and other analytical solutions
  • Assist the team in articulating mission gap problems, process inefficiencies, and operational challenges that can be addressed through data science, business intelligence, or automation
  • Oversee implementation of analytical solutions recommended by the team, including data science reports, machine learning models, visualizations, and decision-support products for agency leaders and stakeholders
  • Manage project scope, staffing, schedules, risks, deliverables, and performance to ensure contractual obligations are fulfilled and quality standards are met
  • Develop, maintain, and communicate work plans, project schedules, roadmaps, backlogs, status reports, and other management artifacts
  • Provide expert direction and guidance to subordinate consultants, data scientists, and technical team members
  • Serve as the primary point of contact to the Contracting Officer’s Representative and support ongoing coordination with the government Program Manager and other stakeholders
  • Manage and control project funds and resources in accordance with contract requirements
  • Support Agile delivery activities, including sprint planning, backlog management, prioritization, stakeholder demonstrations, and continuous improvement
  • Ensure technical concepts, analytical findings, project risks, and delivery recommendations are communicated clearly to both technical and non-technical audiences
  • Support workforce transformation activities by helping teams present data science concepts, analytical products, and lessons learned to large audiences and varied stakeholder groups
Requirements
  • U.S. Citizenship required due to federal contract requirements
  • Recent DHS Public Trust, DoD Secret, or DoD Top Secret clearance required
  • Ability to obtain and maintain a CBP background investigation or other required government suitability determination
  • Eight (8) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research, or another closely related quantitative, mathematical, scientific, or technical discipline
  • At least five (5) years of supervisory experience
  • Advanced degree, such as a Master’s or Ph.D., in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or another closely related scientific or technical discipline
Core Competencies

Demonstrates expertise in leading data science teams to deliver analytical solutions, including machine learning models and data visualizations, while effectively managing project scope, resources, and stakeholder communication. Holds advanced qualifications in relevant scientific disciplines and possesses a strong background in big data analytics and applied research.

Highest-signal resume keywords
  • Data Science Leadership
  • Machine Learning Model Development
  • Project Management
  • Agile Methodologies
  • Statistical Analysis
ATS Optimization Keywords Hard Skills
  • Big Data Analytics
  • Statistics
  • Applied Mathematics
  • Data Science
  • Computer Science
  • Operations Research
  • Analytical Solutions
  • Data Visualization
  • Decision-Support Products
  • Business Intelligence
Soft Skills
  • Communication
  • Collaboration
  • Problem-Solving
  • Stakeholder Engagement
  • Team Leadership
Certifications & Qualifications
  • DHS Public Trust Clearance
  • DoD Secret Clearance
  • DoD Top Secret Clearance
Industry Keywords
  • Federal Contract Requirements
  • Quantitative Analysis
  • Mission Needs
  • Operational Challenges
  • Workforce Transformation
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