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Data Scientist Project Manager Jobs (NOW HIRING)

Socket.dev

Senior Data Scientist - Finance

Santa Clara, CA · On-site

$152 - $264.50/hr

Data Science project management experience, including collaborating closely with multiple collaborators to drive projects and coordinating resources within the organization. * Excellent communication ...

Via Logic LLC

Data Scientist

Springfield, VA · On-site

$92.30 - $166.85/hr

Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT. * Experience with "big data" processing and analytics (Databricks/Apache Spark or similar)

Davita Inc.

Sr Data Scientist

Denver, CO · On-site

$115K - $183K/yr

Lead and manage healthcare-focused data science projects from conceptualization to deployment. * Develop and implement advanced machine learning, natural language processing, and generative AI models ...

New

USDA APHIS | APHIS Careers

Data Scientist

Raleigh, NC · On-site

$111K/yr

... policy decisions, operational data management, and analyses. Responsible for organizing ... Leading complex data science projects from design through deployment by applying analytical methods ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Gartner

Sr Data Scientist

Stamford, CT

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Staffingine LLC

Senior Data Scientist

Los Angeles, CA · On-site

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

Penske

Staff Data Scientist

Beachwood, OH · On-site

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 ...

Home Depot

Principal Data Scientist - CX

Atlanta, GA · On-site

The Principal Data Scientist is responsible for leading data science initiatives that drive ... This position has 0 Direct Reports and leads/manages projects Travel Requirements: * Typically ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Project Oversight & Execution - Manage and oversee the development of machine learning models and ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment ... Experience with data management in SQL, including managing large-scale data across multiple ...

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Data Scientist Project Manager information

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$165K

$243.5K

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

As of Aug 16, 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 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 are the key skills and qualifications needed to thrive as a data scientist project manager?

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 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.

Can a data scientist become a data scientist project manager?

A data scientist can become a data scientist project manager by developing leadership, communication, and project management skills, often through experience and certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and teams while maintaining technical expertise in data analysis and modeling.
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Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% 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.

Senior Data Scientist - Finance

Socket.dev

Santa Clara, CA • On-site

$152 - $264.50/hr

Other

Posted 8 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self‑driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join NVIDIA as a Senior Data Scientist on our Finance Data Science and AI team, where you will work alongside Data Scientists, Data Engineers, and AI developers to lead the integration of innovative Data Science and AI solutions into our financial processes. We are looking for an experienced Data Scientist to challenge the status quo, constantly innovate, and break down complex problems, and communicate technical solutions effectively across organizations.

What you’ll be doing:
  • Combine business insight and the data science toolkit to support critical finance data science initiatives using traditional machine learning, Bayesian statistics, simulation, and optimization.
  • Integrate AI tools and Agents into data science workflows, experimenting with new technology to determine where it can add organizational value.
  • Translate technical solutions into business terms and business requests into technical solutions. Ensure both technical and nontechnical collaborators understand the value, risks, and return on investment of Data Science projects.
  • Experiment with new technologies in the Generative AI space to identify high-value organizational use cases, from automated auditing to predictive forecasting.
What we need to see:
  • 5+ years of professional experience in business-centered AI and Data Science, with a demonstrated history of implementing models in production environments.
  • Hands‑on experience developing custom agents and multi‑agent systems; proficiency with AI‑native development tools (e.g., Cursor, Claude Code) and agent orchestration frameworks.
  • BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields. Technical Master’s or Ph.D. with a finance or business background is preferred.
  • Strong technical skills, with a proven history of designing, validating, deploying, and maintaining data science models using Python, SQL, & Databricks (or similar).
  • Data Science project management experience, including collaborating closely with multiple collaborators to drive projects and coordinating resources within the organization.
  • Excellent communication skills, with the ability to document and present complex technical findings and project status to technical and business collaborators.
Ways to stand out from the crowd:
  • Operations finance or other applied, business-focused data science experience, especially at a larger company or in the semiconductor/tech industry.
  • A history of creative solutions bringing to bear data science and agentic technologies to resolve legacy bottlenecks, improve decision making, and add business value to an organization.
  • Development background with NVIDIA software libraries and GPUs, and OpenACC, CUDA optimization experience.

This role offers a competitive base salary range of 152,000 USD – 264,500 USD, equity, and a comprehensive benefits package that supports you and your family.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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