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Data Science Project Manager Jobs in Virginia (NOW HIRING)

RIVIDIUM

Data Scientist- Senior

Quantico, VA

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 ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

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 ...

JCTM, LLC

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 ...

VTG

Project Manager

Fairfax, VA · On-site

The Project Manager will coordinate day-to-day project execution for data science initiatives ... Monitor data scientist tasks, assignments, and progress using JIRA. * Review task status, updates ...

Elder Research

Project Manager

Arlington, VA · Hybrid

Project Manager General Information Requisition # 676 Locations USA-VA-Arlington Posting Date 03/04 ... Internally, they regularly interface with technical data scientists, data engineers, data analysts ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

... of projects that are technology oriented. A successful candidate will bring a core area of ... management capabilities. * Develop scalable data architectures, metadata enrichment pipelines ...

Elder Research

Project Manager

Arlington, VA · On-site

Project Manager General Information Requisition # 676 Locations USA-VA-Arlington Posting Date 03/04 ... Internally, they regularly interface with technical data scientists, data engineers, data analysts ...

kgs

SME III Data Scientist

Arlington, VA · On-site

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 ...

Koniag, Inc.

SME III Data Scientist

Arlington, VA · On-site

$200K - $262K/yr

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 ...

VTG

Project Manager

Fairfax, VA · On-site

The Project Manager will coordinate day-to-day project execution for data science initiatives ... Monitor data scientist tasks, assignments, and progress using JIRA. * Review task status, updates ...

kgs

SME III Data Scientist

Arlington, VA · On-site

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 ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Manage and prioritize multiple projects in a fast-paced environment * Foster both technical and ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Manage and prioritize multiple projects in a fast-paced environment * Foster both technical and ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Virginia

Data Science Project Manager information

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$57

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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 job categories do people searching Data Science Project Manager jobs in Virginia look for? The top searched job categories for Data Science Project Manager jobs in Virginia 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 Science Project Manager jobs near you
Director of Data Science

Director of Data Science

Redhorse Corporation

Arlington, VA

Full-time

Re-posted 15 days ago

Job description

Director of Data Science
About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Positions Description
Redhorse Corporation is seeking to hire a Director for our growing Data Science team. The ideal candidate must be able to lead, manage and develop a multi-disciplinary data science team and collaborates with customer stakeholders, business leaders, design teams and infrastructure and software engineers to develop solutions using various types of Artificial Intelligence, including Natural Language Processing and Machine Learning, to enable data-driven decisions, predictions (will happen) and prescriptions (should do). The Director advises corporate leadership on Data Science strategy, methodology, tools, techniques and mission alignment including collaboration with the Director of Solutions Design to create practical methods to understand customer preferences as well as work closely with cross-functional groups to comprehend these challenges, prototype new ideas and new technologies, and help create solutions to drive the next wave of innovation.
The Director of Data Science will:
  • Provide Data Science as a service to internal (corporate) and external customers.
  • Consult with potential customers and corporate business executives, capture leaders, and program managers to help identify, qualify, capture and execute data science projects.
  • Mentor, train and manage the work of corporate data scientists; informally mentor and advise data scientists dedicated to customer engagements, and manage the Data Science community of practice.
  • Work in partnership with software and infrastructure engineers to design and manage Data Science and DevOps pipelines and related corporate standards and to drive rapid prototyping and delivery of features using continuous integration and deployment.
  • Perform or assist in various project management tasks relating to the Data Science portfolio.
Minimum basic requirements for the Director of Data Science include:
  • Master’s Degree in Data Science or related field
  • 5+ years of experience in data procurement, processing and manipulation, transformation, and mathematical and statistical analysis
  • 5+ years of experience building executive level visualizations using industry standard tools like Tableau and ArcGIS
  • 5+ years of experience with using Relational, NoSQL, and graph databases such as MySQL, MongoDB, and Neo4j to store, update, and query large volumes of information
  • 2 years of experience leading complex data science projects from conception to execution
  • 2 years of experience building, mentoring and managing teams of data scientists
  • Experience with Natural Language Understanding to provide basic insights into unstructured and semi-structured datasets
  • Ability to create conceptual models, such as Type Systems, to define main concepts or entity types along with their respective relations within a corpus of knowledge
  • Experience with software configuration management, methods, and tools including GitHub or Jira
  • Familiarity with at least two of the following: Python, JavaScript, PHP, VBScript, Matlab, HTML/CSS or SQL
Preferred Requirements:
  • Ability to lead development efforts utilizing DevOps and Agile Methodologies
  • Basic understanding of how to integrate with Cloud-based services such as AWS, IBM (BlueMix/Cloud), and Azure
  • Experience with data ingestion from a variety of sources, leveraging standards-based interfaces such as SOAP/REST web services
  • Familiarity with metadata extraction technologies such as GROBID and Apache Tika
  • Familiarity with data structures, algorithms, and modular application design
  • Experience with solutions for full–text search, hit highlighting, and faceted search, including SOLR or ElasticSearch
  • Ability to learn technical concepts quickly and communicate with multiple functional groups
The work environment for this position requires an individual to be able to:
  • Work sitting or standing at a desk or conference table for extended periods of time with the ability to shift positions while working: sit, stand, pace, adjust positioning in any of those without issue
  • Walk in the office to collaborate with co-workers, attend meetings or retrieve documents from printer
  • Ability to carry up to 10 pounds
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

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