1

Data Scientist Project Manager Jobs (NOW HIRING)

Responsibilities Peraton is seeking an experienced Data Scientist / Project Manager to lead a high-performing team of engineers, data scientists, and analysts in direct support of U.S. Army Cyber ...

... manage data pipelines, and ensure scalable data infrastructure. Experience in the HR domain is a plus. Responsibilities * Lead end-to-end data science projects using agile and iterative approaches.

They are currently seeking a Data Scientist to play a pivotal role in planning, executing, and delivering machine learning-based projects that drive business impact. Responsibilities : • Collect ...

New

When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major ...

Manage end-to-end data science projects ensuring alignment with business objectives and the successful delivery of actionable insights * Contributes to the strategic vision of the Data Science MLOps ...

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial ... and management of applications, infrastructure and connectivity. We are one of the leading ...

next page

Showing results 1-20

Data Scientist Project Manager information

See salary details

$46K

$165K

$243.5K

How much do data scientist project manager jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data scientist project manager in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

How do Data Scientist Project Managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What is a Data Scientist Project Manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

What is 90% of a project manager's job?

For a Data Scientist Project Manager, approximately 90% of the job involves planning, coordinating, and overseeing data science projects to ensure timely delivery and alignment with business goals. This includes managing teams, communicating with stakeholders, and utilizing project management tools like Agile or Scrum methodologies.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

More about Data Scientist Project Manager jobs
What cities are hiring for Data Scientist Project Manager jobs? Cities with the most Data Scientist Project Manager job openings:
What states have the most Data Scientist Project Manager jobs? States with the most job openings for Data Scientist Project Manager jobs include:
Infographic showing various Data Scientist Project Manager job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist / Project Manager

Data Scientist / Project Manager

Peraton

Fort Eisenhower, GA • On-site

Full-time

Posted 14 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

37th of 203 rated it services


Job description

Responsibilities

Peraton is seeking an experienced Data Scientist / Project Manager to lead a high-performing team of engineers, data scientists, and analysts in direct support of U.S. Army Cyber Command's (ARCYBER) Data Management and Analytics Directorate (DMA). This is a dual-hat leadership role requiring both deep technical expertise in data science and the program management acumen to deliver results on a complex, multi-functional task order. Location: Fort Gordon, GA.

You will serve as the technical and operational lead for the DMA support team, driving the acquisition, curation, analysis, and visualization of data that enables Army and Joint commanders to make informed, data-driven decisions. Your team's work directly supports ARCYBER's mission to achieve analytic superiority and information advantage across the DoWIN-A enterprise.This role is ideal for a technically grounded leader who thrives at the intersection of data engineering, advanced analytics, and mission-focused program execution in a classified DoW environment.Key Responsibilities:Technical Leadership

  • Lead a team of engineers, data scientists, and analysts in the design, development, and delivery of data products and analytic capabilities in support of ARCYBER operations.
  • Build, maintain, and optimize Python scripts and packages used by data analysts across the DMA team, establishing reusable frameworks and coding standards.
  • Curate and develop a solid data foundation - both structured and unstructured - in close coordination with the government client, ensuring data is Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure (VAULTIS).
  • Process modeling data and perform robust analytics to support operational and strategic decision-making for Army and Joint organizational elements.
  • Apply online experimentation, Machine Learning (ML), natural language processing (NLP), and dynamic network analysis to develop personalized, mission-relevant data products.
  • Oversee integration of analytics and visualizations into the Army's Big Data Platform (BDP), Gabriel Nimbus, and related platforms (AWS GovCloud, Microsoft Azure, Google Cloud).
  • Provide architectural oversight to ensure DMA data products, pipelines, and cloud environments align with DoD and Army reference architectures and enterprise data standards.

Program Management

  • Serve as the accountable program manager for the successful technical, schedule, and cost performance of the DMA support team in accordance with Task Order (TO) contract requirements and Peraton company policies.
  • Monitor and manage all phases of the project budget; coordinate with the government client on TDP funding, provide financial forecasts, and ensure cost performance remains within approved parameters.
  • Maintain program documentation, status reporting, and deliverable compliance in accordance with contract requirements - including Monthly Status Reports (NLT 10 days after month start), In-Progress Reviews (IPRs), and CSSP certification artifacts.
  • Identify and mitigate program risks; escalate issues to the Program Director with recommended courses of action.
  • Coordinate with ARCYBER G3, DMA leadership, and Peraton leadership to align team priorities with mission requirements and contract objectives.

Business Development

  • Identify and pursue follow-on business opportunities associated with the DMA portfolio and ARCYBER cyberspace operations support.
  • Lead or contribute to major proposals, white papers, and capability briefings in support of new business development efforts.
  • Represent Peraton's DMA capabilities to government stakeholders, building relationships that support long-term program growth.

People Leadership

  • Supervise, mentor, and develop a team of professional and technical personnel across the DMA functional areas: Integration & Data (ID2), Data Governance, Data Analysis, Knowledge Management, G33 Operations Support, and Enterprise Architecture.
  • Conduct performance evaluations, support career development planning, and maintain aggressive efforts to achieve individual and team objectives.
  • Foster a culture of technical excellence, accountability, and continuous improvement aligned with Peraton's values.
Qualifications

Required Qualifications:

  • 12 years of experience, with supervisory or management experience
  • Proficiency in Python for data engineering, analytics, and automation (scripting, packages, Jupyter environments)
  • Hands-on experience with Machine Learning frameworks and NLP techniques
  • Experience with cloud platforms - AWS GovCloud, Microsoft Azure, and/or Google Cloud
  • Familiarity with big data platforms and tools (e.g., Spark, Kafka, Hadoop, or equivalent)
  • Experience with data visualization tools (Power BI, Tableau, or equivalent)
  • Demonstrated experience managing cost, schedule, and technical performance on DoD task orders
  • Experience with Agile/Scrum methodologies and tools (e.g., Jira)
  • Familiarity with DoD data governance frameworks, RMF, and CSSP requirements
  • Active TS clearance with ability to obtain/maintain SCI, Polygraph and MEAD
  • U.S. Citizenship required.

Preferred Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field; a Master's degree in a relevant technical or analytical field is highly desirable
  • 10+ years of relevant experience, including at least 3 years in a technical program or project management role on DoD contracts
  • Experience supporting ARCYBER, USCYBERCOM, or Army cyber mission partners
  • Familiarity with Gabriel Nimbus (GN), IONIC, ALEX, or the Army Big Data Platform (BDP)
  • Knowledge of MITRE ATT&CK framework and its application to defensive cyber analyticss
  • Experience with JCWA platforms (Unified Platform, JCC2, JCHK, PCTE)
  • PMP, DAU Program Management, or equivalent certification
  • Experience with DoD data strategy frameworks (VAULTIS, DoD Data Strategy 2020)
  • Prior experience leading proposals and winning follow-on business in the DoD cyber domain
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Peraton logo

About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017