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Data Science Project Manager Jobs in Washington (NOW HIRING)

Blend360

Associate Director of Data Science

Columbia, MD

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists. * Design and implement AI solutions leveraging advanced techniques, including prompt ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists. * Design and implement AI solutions leveraging advanced techniques, including prompt ...

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 ...

kgs

SME III Data Scientist

Arlington, VA

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 ...

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 ...

Blend360

Data Science Manager

Columbia, MD

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and ... Strong project management skills with ability to manage multiple workstreams simultaneously

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 ...

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Data Science Project Manager information

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$19

$65

$90

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

As of Jul 6, 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 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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $135,478 per year, or $65.1 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Suitland, MD • On-site

Full-time

Posted 22 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 437 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through technology and innovation. They are seeking a Data Science Practitioner to lead data science projects, manage big data, and drive data-driven decision-making throughout the organization.
Responsibilities:
• Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
• Drive data-driven decision-making across the organization
• Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
• Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
• Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
• Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation
Qualifications:
Required:
• Develop Power BI reports and dashboards, providing insights into key performance indicators (KPIs) and streamlining data-driven decision making for stakeholders
• Experience analyzing existing systems & databases to understand, validate, and document content
• Active TS/SCI clearance required
• Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
• Drive data-driven decision-making across the organization
• Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
• Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
• Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
• Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation
Preferred:
• Good understanding of structured and unstructured data, various file types, data ETL, data pipelines, and ability to document
• Experience with Tableau
• Experience providing IT support as needed
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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