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Data Science Project Manager Jobs in Pittsburgh, PA

Partner with cross-functional teams to align data solutions with project goals Requirements: * Master's degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related ...

Partner with cross-functional teams to align data solutions with project goals Requirements: * Master's degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related ...

Partner with cross-functional teams to align data solutions with project goals Requirements: * Master's degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related ...

Partner with cross-functional teams to align data solutions with project goals Requirements: * Master's degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related ...

... projects, including deployment into production environments, and monitoring for continuous improvement. * Design, develop, and maintain software components of internal data science platforms ...

This includes developing andpublishing test specifications, preparing test data, and creating ... Requirements * Bachelor's degree in Computer Science, Information Systems, orequivalent work ...

This includes developing and publishing test specifications, preparing test data, and creating user ... Requirements Bachelor's degree in Computer Science, Information Systems, or equivalent work ...

Analyze financial data. * Ability to travel extensively both domestically and abroad as project requires What you'll need * Bachelor's degree in engineering/science/management discipline preferred ...

Showing results 41-60

Data Science Project Manager information

See Pittsburgh, PA salary details

$16

$55

$77

How much do data science project manager jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data science project manager in Pittsburgh, PA is $55.83, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $65.34 per hour, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Data Science Project Manager jobs in Pittsburgh, PA?

For Data Science Project Manager jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Data Science Project Manager jobs in Pittsburgh, PA look for?

The top searched job categories for Data Science Project Manager jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Data Science Project Manager jobs?

Cities near Pittsburgh, PA with the most Data Science Project Manager job openings:

Infographic showing various Data Science Project Manager job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $116,126 per year, or $55.8 per hour.

Research Data Scientist

System One Holdings, LLC

Pittsburgh, PA • On-site

$120K/yr

Full-time

Posted 6 days ago


Job description

Title: Research Data Scientist
Location: Onsite, Pittsburgh, PA 15213
Type: Direct-Hire/Permanent
Hours: Standard business hours
Overview: Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets. The position will contribute to building scalable, reproducible data frameworks that enable insights, predictive modeling, and informed decision-making.
Responsibilities:
  • Design and implement scalable data analysis pipelines for structured and unstructured datasets
  • Develop and apply statistical models to analyze trends, patterns, and key outcomes
  • Build and deploy machine learning models for predictive analytics and pattern recognition
  • Perform integrative analysis across multiple data sources and modalities
  • Collaborate with stakeholders to support study design, data strategy, and analytical approaches
  • Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control
  • Develop data organization standards and reporting frameworks
  • Generate clear data visualizations, dashboards, and analytical summaries
  • Contribute to technical documentation, reports, and presentations
  • Support data infrastructure development for efficient storage, access, and processing
  • Partner with cross-functional teams to align data solutions with project goals

Requirements:
  • Master's degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field
  • 3+ years of experience in data analysis, statistical modeling, or computational work
  • Strong expertise in statistical analysis and data interpretation
  • Proficiency in programming languages such as Python or R
  • Experience working with large, complex datasets
  • Experience building reproducible data workflows and pipelines
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively

Preferred Qualifications
  • Ph.D. in a quantitative or computational discipline
  • Experience with machine learning or advanced modeling techniques
  • Experience integrating data from multiple sources or systems
  • Familiarity with data visualization tools and techniques
  • Experience with data infrastructure, cloud platforms, or big data tools
  • Exposure to analytical work in research or technical environments
  • Experience contributing to technical reports, publications, or presentations

#M3
#LI-KM2
Ref: #558-Scientific

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US