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Data Scientist Project Manager Jobs in Reston, VA

Data Scientist

Mclean, VA

$200K - $240K/yr

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 ...

Data Scientist

Chantilly, VA · On-site

$200K - $240K/yr

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 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 ...

... of-concept projects and capabilities briefings. About the Role: If you are excited about ... Large Data Management: querying, extracting, cleaning, verifying, integrating, resolving, and ...

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

Data Scientist

Springfield, VA · On-site

$120K - $160K/yr

Description The Data Scientist will apply their technical and analytical capabilities to support ... Collaborate with project requestors, stakeholders, and project managers to refine project requests ...

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Experience with project management, project planning, and technical documentation * Knowledge of ...

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 ...

The candidate will have experience in managing, manipulating, storing and parsing data for various ... The work is performed in a multidisciplinary team environment in an agile project framework. The ...

... proof-of-concept projects and capabilities briefings. This opportunity is specifically for ... Large Data Management: querying, extracting, cleaning, verifying, resolving, and maintaining data.

... projects and capabilities briefings. About the Role: If you are excited about this role but your ... Large Data Management: querying, extracting, cleaning, verifying, integrating, resolving, and ...

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Experience with project management, project planning, and technical documentation * Knowledge of ...

... proof-of-concept projects and capabilities briefings. This opportunity is specifically for ... Large Data Management: querying, extracting, cleaning, verifying, resolving, and maintaining data.

The Data Scientist works closely with ETL Developers, Power BI Developers, Data Analysts, Power Apps Developers, Technical Project Managers, testers, technical writers, and Government stakeholders to ...

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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 Jul 20, 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.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of expertise, certifications, and sometimes leadership responsibilities.

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?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Experience in managing data projects and understanding business goals can facilitate this transition, often supported by certifications like PMP or Agile methodologies.

What is the hottest job of the 21st century?

Data Scientist Project Managers are in high demand due to the growth of data-driven decision making. They combine technical skills in data analysis with project management expertise to lead complex analytics initiatives, often requiring knowledge of tools like Python, R, and cloud platforms. The role is considered one of the most sought-after careers in the 21st century for its impact and versatility.

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.

Is 40 too late for data science?

For a Data Scientist Project Manager, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less of a barrier than skill set and adaptability.
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

$200K - $240K/yr

Full-time

Posted 7 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 rated it services


Job description

Job ID: T2600315

Location: McLean, VA, US

Date Posted: 2026-03-05

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description



SAIC is seeking a Data Scientist to provide specialized support across multiple projects from a Team of Systems Integrators and Data Scientists. In this role you would work on an IT Resource management and operations integration component that is responsible for leading all aspects of budget formulations and execution, the IT portfolio management program and managing business transformation activities.

This position is located in McLean, VA and requires an active TS/SCI clearance with Polygraph.

Job responsibilities include, but are not limited to:

  • Providing system and requirements integration with the components that perform the IT development/engineering of capabilities in support of an enterprise portfolio and project management tool.
  • Support the overall financial and business efforts including a new initiative related to cost recovery model.
  • Assessing and analyzing data through conversations with IT and finance Subject Matter Experts (SMEs), as well as documenting and briefing data related to subject.
  • Support a startup integrated security initiative with a focus on analyzing current processes, approvals and training while formulating a plan. The work will include communications with security SMEs and developing a roadmap.
  • Integrate different requirements and capabilities from other offices across the broader Sponsor community into a centralized system.
  • Design, test, and integrate new security products.
  • Provide technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into an existing environment.
  • Engage with customers to determine the nature of requirement/analytic problem, evaluate options, and offer Information Technology (IT)-based recommendations.
  • Resolve complex IT problems efficiently and accurately while adhering to standards and procedures.
  • Plan, test, and integrate new and upgraded versions of the relevant IT components, systems, applications, tools.
  • Identify opportunities to integrate and improve resources to accomplish customer needs.
    Review existing Information Technology (IT) programs and assist in making refinements, reducing operating time, and improve current techniques.
  • Strategically plan new designs for integration into a budget reconciliation database structure, using knowledge of the characteristics of the systems being added to the structure and the specifications for database interfaces to ensure effective integration and optimal database performance.
  • Review and acquire data from primary or secondary cost recovery data sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets to include expenditure plan requirements, and business process analysis.
  • Provide insight into industry trends and make recommendations on future direction; identify new technologies and assess their technical and performance characteristics.
  • Analyze current processes, available tools to enhance the change management processes.
  • Be responsible for the development of all types of documents and reports by creating and updating graphics presentations to improve the quality and enhance the usability of these documents.

Qualifications


  • Active TS/SCI with Polygraph.
  • Bachelors and 9 years or more experience; Masters 7 years or more experience.
  • 5 years of experience tracking budgetary funds.
  • 5 years of experience with portfolio & resource management.
  • Experience developing use cases that improve the ability to find information in a more timely fashion.
  • Demonstrated experience in data analysis, requirements gathering, translations, and visualizing information in a clear way to explain the data at hand.
  • Demonstrated experience developing and managing project schedules, utilizing MS Project to identify critical tasks, and EVM for overall project status.
  • Experience with resource allocation and optimizing resource assignments by identifying key resources and the right set of skill sets required for a project.
  • Experience developing Minimum Viable Increments (MVIs) based on requirements gathered.
  • Background in Business/Financial areas.
  • Experience working on both development and integration projects.
  • Experience with Service Now.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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