ZipRecruiter

Log In

1

Data Scientist Project Manager Jobs in Reston, VA

Cornerstone Defense

Data Scientist

Reston, VA · On-site

Data Scientist Location: Reston, Virginia *Clearance: *Active TS/SCI w/ Polygraph needed to apply ... Collaborate with the Client project manager, technical analysts, and customer end-users in the ...

SAIC

Data Scientist

Springfield, VA · On-site

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Collaborate with project requestors, stakeholders, and project managers to refine project requests ...

Bridge Core (BCore)

Data Scientist

Chantilly, VA · On-site

$200K - $225K/yr

Overview Data Scientist Chantilly, VA TS/SCI with Poly At Bcore, our strength comes from how we ... Demonstrated experience in project management processes, procedures and tools. * Demonstrated ...

New

Bridge Core (BCore)

Data Scientist

Chantilly, VA · On-site

$200K - $225K/yr

Data Scientist Chantilly, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver ... Demonstrated experience in project management processes, procedures and tools. * Demonstrated ...

New

SAIC

Data Scientist

Chantilly, VA · On-site

Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling. * Documents internal process improvements to optimize ...

SAIC

Data Scientist

Chantilly, VA

Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling. * Documents internal process improvements to optimize ...

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

End-to-End Project Scoping: Take ownership of data science projects from initial problem definition ... You maintain a "no task too small" mindset, successfully managing multiple engagements ...

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

End-to-End Project Scoping: Take ownership of data science projects from initial problem definition ... You maintain a "no task too small" mindset, successfully managing multiple engagements ...

SAIC

Data Scientist

Chantilly, VA · On-site

... project managers, and clients to prepare data for predictive modeling. • Documents internal ... data science, machine learning (ML), or statistics. • Demonstrated high level of initiative ...

SAIC

Data Scientist

Mclean, VA

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... project management tool. * Support the overall financial and business efforts including a new ...

IC-CAP LLC

Data Scientist IV TALO094

Herndon, VA · On-site

Ability to lead multi-disciplinary teams to complete complex data science projects.. * Experience with AWS or similar cloud provider. * Demonstrated experience in solving problems with structured and ...

Tulk LLC

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

About the Role The Data Scientist - Mid will work with project requestors, stakeholders, subject matter experts, and project managers to clarify business needs, analyze data from multiple sources ...

MSCCN

Data Scientist - Washington, DC

Washington, DC · On-site

$125K - $155K/yr

Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements. * Partner with cross-functional teams to ...

next page

Showing results 1-20

All JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Reston, VA

Data Scientist Project Manager information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data scientist project manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data scientist project manager in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a Data Scientist Project Manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often supplemented with certifications like PMP. Transitioning typically involves gaining experience in managing projects and understanding business objectives alongside technical expertise.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on problem-solving, domain expertise, and model validation. The demand for data science skills remains strong as organizations seek to leverage AI effectively.

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

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do Data Scientist Project Managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists and analysts to ensure timely delivery of insights and solutions. They manage project scope, timelines, and resources, often utilizing tools like project management software and requiring knowledge of data science methodologies and business objectives.

Is 40 too late for data science?

For a Data Scientist Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering data analysis tools and programming languages like Python or R, regardless of age.
What are popular job titles related to Data Scientist Project Manager jobs in Reston, VA? For Data Scientist Project Manager jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Project Manager jobs in Reston, VA look for? The top searched job categories for Data Scientist Project Manager jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Scientist Project Manager jobs? Cities near Reston, VA with the most Data Scientist Project Manager job openings:
Data Scientist Project Manager jobs near you
Data Scientist

Data Scientist

Science Applications International Corporation

Chantilly, VA

Other

Posted 25 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 206 rated it services

Job description

SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role will contribute to the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED), which oversees the acquisition and lifecycle management of systems from inception to deployment and operations.

As the Data Scientist you will support the analysis of complex data to drive strategic mission efforts. The role supports the resolution of operational and systems problems into data-driven solutions, guides analytic strategy, and advises leadership on mission impact, model risk, and data-informed tradeoffs.

Job Responsibilities to include:

  • Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
  • Supports the collection and integration of large, complex data sets that meet cross-organizational requirements.
  • Evaluates data quality, reliability, and efficiency throughout the data lifecycle.
  • Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling.
  • Documents internal process improvements to optimize data delivery and automate manual processes.
  • Supports testing and validation procedures to ensure operational platforms function correctly, including the ability to gather user feedback, identify issues, conduct updates, and perform routine quality assurance checks.
  • Supports the development of essential technical documentation for reference and reporting, which includes documenting processes, system specifications, and modifications.
  • Supports data compliance with regulations, develop guidance, and promote ethical use of developed platforms, data repositories, and relevant technical records.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education and Experience:

  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree. 
  • 5+ years of experience in software engineering with IC, DoD, and/or commercial space architectures, systems, and/or operations.
  • Hands-on practical experience with data analytics, machine learning, and statistical methods.
  • Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking.
  • Demonstrated capability and success working in team environments.
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
  • Good working knowledge of MS Office applications.

What SAIC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply