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Data Scientist Project Manager Jobs (NOW HIRING)

... 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.

The Data Scientist owns end-to-end execution-from problem framing and solution design to model ... Define project scope, timelines, and deliverables while managing dependencies and risks. * Create ...

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 ...

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

Collaborate with data engineers, software developers, analysts, and project managers. * Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing activities.

Collaborate with data engineers, software developers, analysts, and project managers. * Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing activities.

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal ... Project Management: Capable of managing multiple projects simultaneously while meeting deadlines ...

Responsibilities : • Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and ...

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models. The Data Scientist III ...

You will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the team. This ...

Be responsible for projects that span statistical and mathematical reasoning, business ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. * You will identify and prioritize data science projects that ...

You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. * You will identify and prioritize data science projects that ...

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 ...

Data Scientist

Boston, MA · On-site

$120K/yr

... managers, and business partners to turn data into actionable insights and deploy models into production. Responsibilities * Contribute to end-to-end data science projects that improve product ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

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 ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

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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 Jul 26, 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.

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 expertise, certifications, and sometimes leadership responsibilities.

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.

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.

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. Experience in managing data projects and understanding business goals can facilitate this transition, often supported by certifications like PMP or Agile methodologies.

What is the hottest job of the 21st century?

Data Scientist Project Managers are in high demand due to the growth of data-driven decision making. They combine technical skills in data analysis with project management expertise to lead complex analytics initiatives, often requiring knowledge of tools like Python, R, and cloud platforms. The role is considered one of the most sought-after careers in the 21st century for its impact and versatility.

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.

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.

Is 40 too late for data science?

For a Data Scientist Project Manager, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less of a barrier than skill set and adaptability.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

campus4tech

Manhattan, NY • On-site

Full-time

Posted 2 days ago


Job description

Job Title- Data Scientist
Location- New York, NY 10112
Reporting Type- Onsite
W2 candidates only preferred
Green Card Holders and US Citizens only preferred
Summary
This role involves building and delivering advanced data science and AI/ML solutions in an agile environment, with a focus on rapid iteration and business impact. The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting roles include Data Scientists and Data Engineers who will collaborate to build models, 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.
  • Develop and deploy AI/ML models, including propensity modeling.
  • Drive data engineering requirements to support model development and optimization.
  • Leverage GenAI/Data Assist tools to accelerate data science workflows.
  • Collaborate with stakeholders to align models with business outcomes.
  • Build and refine machine learning models under guidance.
  • Perform data analysis, feature engineering, and model validation.
  • Support deployment and testing of AI/ML solutions.

Requirements
  • Data Science Lead (SC or M level) - should have experience leading data science projects with rapid iterations in an agile manner.
  • Should have experience developing AI/ML propensity modeling experience and in driving data engineering to support the model development and refinement.
  • Driving the use of Data Assist or GenAI to accelerate the project would be great. Experience in the HR domain would be ideal!
    Data Science Support (SC or C level) - Should have AI/ML experience and be able to take direction and develop model as part of a team