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Data Scientist Project Manager Jobs in Raleigh, NC

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 ...

Senior Data Scientist

Cary, NC · On-site

$140 - $200/hr

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate ...

... Project management in Banking and Financial Services. • Expertise in Predictive Modeling and Big ... • Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark • ...

... project and may include: • Rapid analysis scripts • Visualization prototypes / models • ... Data science, statistics, or experimental psych. • Good communication skills. • Proven ability ...

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Take accountability for technical decisions, project outcomes, timelines, and production stability ... Visualize data, create reports, and present findings to senior management and cross-functional ...

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Manage projects and direct work of more junior team members. * Six (6) or more years of data ...

New

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Manage projects and direct work of more junior team members. * Six (6) or more years of data ...

New

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

Translate ambiguous business problems into well-scoped analytical projects with clear deliverables ... cost management.* Identify and scale high-value AI use cases across the business.Technical ...

Have some management experience, including leading a team indirectly or directly * Have significant experience in a Data Scientist role * Have experience in leading complex projects and customer ...

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... management teams to improve SAS solutions and analytical products based on customer project ...

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... management teams to improve SAS solutions and analytical products based on customer project ...

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Data Scientist Project Manager information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

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 Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 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.

What are popular job titles related to Data Scientist Project Manager jobs in Raleigh, NC?

For Data Scientist Project Manager jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Scientist Project Manager jobs in Raleigh, NC look for?

The top searched job categories for Data Scientist Project Manager jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Scientist Project Manager jobs?

Cities near Raleigh, NC with the most Data Scientist Project Manager job openings:

$111K/yr

Full-time

Posted 9 days ago


USDA Forest Service rating

7.4

Company rating: 7.4 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

159th of 292 rated public sector bodies


Job description

The Data Scientist position is within an analytical unit, applying scientific and technical findings to risk analyses, policy decisions, operational data management, and analyses. Responsible for organizing, replicating, architecting, distributing, and reporting on PPQ and cooperator mission data, including geospatial and non-geospatial information.Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement, including specialized experience and/or education, as defined below.
BASIC REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience. In addition to the basic requirement applicants must also possess:
FOR THE GS-13 LEVEL: Applicants must have one year of specialized experience (equivalent to the GS-12 level) that may have been obtained in the private or public (local, county, state, Federal) sectors which demonstrates:
  • Leading complex data science projects from design through deployment by applying analytical methods such as statistics or machine learning, maintaining high data quality, and coordinating with cross-functional teams to meet organizational needs.
  • Building and maintaining large-scale automated workflows to process, manage, and validate complex datasets.
  • Cataloging, documenting, and standardizing datasets and workflows to improve accessibility, discoverability, and reuse.
  • Clearly communicating analytical work to executives, technical staff, and non-technical stakeholders.
Note: There is no education substitution for this grade level.
TRANSCRIPTS are required if:
  • This position requires specific coursework or a degree in a specific field to be basically qualified.
  • This education must have been successfully completed and obtained from an accredited school, college, or university.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education:Please see above for education qualification requirement information.Employment Type: OTHER

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