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Data Science Project Manager Jobs in Washington (NOW HIRING)

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 ...

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 ...

VTG

Project Manager

Fairfax, VA

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 ...

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 ...

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 ...

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 ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ... Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ... Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ... Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.

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 ...

Noblis

Cleared - Data Scientist - Senior

Bethesda, MD · On-site

... management fundamentals, successfully adopting them for data science projects from development into production • Understand customer needs and visualize data in the most effective way possible for ...

BlueLabs, Inc.

Data Scientist

Washington, DC · On-site

... managers and external stakeholders to troubleshoot problems and proactively create solutions * Assist on research development projects and data science project plans for clients and internal ...

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Data Science Project Manager information

See Washington salary details

$19

$65

$90

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

As of Aug 7, 2026, the average hourly pay for data science project manager in Washington is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $56.35 and $76.25 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 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.
What are popular job titles related to Data Science Project Manager jobs in Washington? For Data Science Project Manager jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Washington look for? The top searched job categories for Data Science Project Manager jobs in Washington are:
What cities in Washington are hiring for Data Science Project Manager jobs? Cities in Washington with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $135,478 per year, or $65.1 per hour.

Data Scientist- Senior

RiVidium, Inc

Quantico, VA • On-site

Full-time

Re-posted 8 days ago

Job description

Full-Time/Part-Time
Full-Time
Description
RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends.
This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives-from data collection and model development to deployment and performance monitoring.
Key Responsibilities
  • Lead the design, development, and deployment of advanced statistical and machine learning models
  • Translate complex data into actionable insights to support business strategy and decision-making
  • 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 solutions
  • Build and optimize predictive models to solve complex problems and forecast future outcomes
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement
  • Design and implement data platforms for analysis, experimentation, and scalability
  • Assess and improve data quality, data sources, and data collection methodologies
  • Develop algorithms and analytical tools to extract insights from structured and unstructured data
  • Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences
  • Drive innovation and continuous improvement in data science methodologies and technologies
  • Ensure data standardization, governance, and best practices across projects
  • Stay current with emerging trends in data science, machine learning, and artificial intelligence

Minimum Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics)
  • Minimum 10 years of relevant professional experience
  • 6-8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment
  • Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar
  • Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies
  • Hands-on experience with data visualization tools and techniques
  • Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques
  • Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms
  • Familiarity with natural language processing (NLP) and/or image processing techniques
  • Experience working with Microsoft tools, including SharePoint
  • Strong analytical, problem-solving, and critical thinking skills
  • Excellent communication, presentation, and stakeholder engagement abilities
  • Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS)
  • Experience with data science platforms such as RStudio, Spark, or similar tools
  • Strong documentation and project management skills
  • Active TS/SCI clearance required at contract start

Preferred Qualifications
  • Specialized expertise in text analytics, image recognition, graph analytics, or deep learning
  • Experience solving complex problems in computer vision or natural language processing domains
  • Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN)
  • Familiarity with federal law enforcement (LE) systems or prior experience in LE environments

Work Environment
  • Collaborative, mission-focused environment supporting federal and defense initiatives
  • Opportunity to work on cutting-edge data science and AI/ML technologies

About the Organization
Established in 2008, RiVidium, Inc. (dba TripleCyber) is a VA-Verified SDVOSB and an SBA-Certified 8(a) company. To prepare our clients for the future, RiVidium has balanced all parts of our organization to attract the finest employees in order to 'Strive to be the missing element defining tomorrow's technology'. RiVidium keeps pace and surpasses its competitors by meeting challenges of advancements in Logistics, Human Capital, Cyber, Intelligence & Technology.
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. If you need a reasonable accommodation for any part of the employment process, please contact Human Resources (HR) at hr@rividium.com.
This position is currently accepting applications.

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