1

Data Science Project Manager Jobs in Virginia (NOW HIRING)

Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment. * Design and implement predictive models, NLP solutions ...

The Project Manager will coordinate day-to-day project execution for data science initiatives ... Responsibilities : • Monitor data scientist tasks, assignments, and progress using JIRA. • ...

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

Data Science Tutor

Richmond, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Norfolk, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Salem, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Blacksburg, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

next page

Showing results 1-20

Data Science Project Manager information

See Virginia salary details

$16

$57

$79

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

As of Jul 15, 2026, the average hourly pay for data science project manager in Virginia is $57.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $66.73 per hour, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

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.

Is 40 too late for data science?

For a Data Science 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 tools like Python or R and understanding business needs, regardless of age.

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 technical expertise, certifications, and leadership responsibilities.

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 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 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.

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. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in Virginia? For Data Science Project Manager jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Data Science Project Manager jobs? Cities in Virginia with the most Data Science Project Manager job openings:
Data Scientist

Data Scientist

California Creative Solutions Inc.

Mclean, VA • On-site

Other

Re-posted 20 days ago


Job description

Job Summary:

The office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.
Please Note:
This job requires an existing Top Secret Clearance and Polygraph.

Responsibilities and Duties:

  • The Team shall work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with The Team working to implement those priorities.
  • The Team shall take the Sponsor's mission needs and convert those into technical milestones consistent with the Sponsor's data science requirements.
  • The Team shall develop and manage data processing ETL pipelines.
  • The Team shall provide ad hoc trainings to Sponsor's data users on custom tools and data exploitation consist stent with established use cases.
  • The Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.
  • The Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.
  • The Team shall identify existing or emerging data science workflows within the Sponsor's broader office that would accelerate the Sponsor's data science mission.
  • The Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor's technical goals for data management.
  • The Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor's direction.

Experience Needed:

  • Citizenship: Must Be a US Citizen
  • Existing Clearance Required: Active Top Secret SCI with Poly
  • Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.
  • Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.
  • Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.
  • Demonstrated experience with a range of Python packages and graph databases.
  • Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.
  • Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.

Optional Skills:

  • Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.
  • Demonstrated experience leading complex data science teams.
  • Demonstrated experience with machine learning solutions.
  • Demonstrated experience working with foreign and domestic partners of the Sponsor.
  • Demonstrated experience writing custom algorithms for data exploitation.
  • Demonstrated experience with complex graph database queries.
  • Demonstrated experience working in high operational tempo environments.

California Creative Solutions logo

About California Creative Solutions

Sourced by ZipRecruiter

CCS Global Tech is a Certified Minority-Owned Business based in Poway, California. From our beginnings as a one-man operation in 1997, we’ve grown into an international organization of 700+ employees with offices in five countries and an extensive global reach. We specialize in innovative technology solutions, including business intelligence, analytics, data mining, migrations/integrations, cloud computing, cloud hosting, Microsoft Azure, and more.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

Poway, CA, US