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Data Science Project Manager Jobs in Washington (NOW HIRING)

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 ...

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 ...

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

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

Data Science Manager

Columbia, MD · On-site +1

$125K - $160K/yr

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

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 ...

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 ...

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 ...

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 ...

... 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.

... 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.

Apply Early

... 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.

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 ...

... 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 ...

Understand and apply data integration and data management fundamentals, successfully adopting them for data science projects from development into production * Understand customer needs and visualize ...

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

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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 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:
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.
SME III Data Scientist

SME III Data Scientist

Koniag, Inc.

Arlington, VA • On-site

$200K - $262K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Koniag Management Solutions, LLC a Koniag Government Services company, is seeking a SME III Data Scientist with a TS/SCI security clearance to support KMS and our government customer at the Pentagon, Arlington, VA.This position is for a Future New Business Opportunity.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
Work Experience, Knowledge, Skills & Abilities:
  • Fifteen (15) years' experience as a data scientist.
  • Fifteen (15) years' experience with expert-level proficiency in data science programming languages such as Python and/or /Strong experience with data querying languages (e.g., Structured Query Language (SQL)) and working with large-scale datasets.
  • Fifteen (15) years' experience with extensive theoretical knowledge and practical experience in developing and deploying machine learning models.
  • Demonstrated specific, hands-on experience with Large Language Models (LLMs) is required.
  • Fifteen (15) years' experience with a mastery of statistical methods, including hypothesis testing, regression, classification, and clustering techniques.
  • Ten (10) years' experience using data visualization libraries and platforms (e.g., 16 Matplotlib, Seaborn, Plotly, Tableau) to create impactful reports and dashboards.
  • 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's degree from an accredited college or university in engineering or science discipline relevant to the field of data science.

Preferred Skills and Experience:
  • Military or OSW experience

Clearance Requirement:
  • TS/SCI (SAP eligible)

Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

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About Koniag

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

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