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Data Science Project Manager Jobs in Pittsburgh, PA

Deloitte

Lead AI and Data Science Engineer II

Pittsburgh, PA · On-site

$99K - $131K/yr

Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

M J Brunner Inc

Sr. Data Scientist

Pittsburgh, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... project lifecycle, from requirements and scoping, through data acquisition and management, EDA ... science role * Bachelor's or Master's degree in program with heavy emphasis on quantitative ...

Cmu

Senior Data Scientist

Pittsburgh, PA

Our team works on a wide range of projects. Our current work includes research in generative AI and ... If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ...

Cmu

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

Our team works on a wide range of projects. Our current work includes research in generative AI and ... If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ...

Markon

Computer/Data Scientist

West Mifflin, PA · On-site

$120K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science integration to improve safety, efficiency, and knowledge management within mission ... Demonstrated ability in project packaging and large-scale AI system deployment. * Potential for ...

Markon

Computer/Data Scientist

West Mifflin, PA · On-site

$120K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science integration to improve safety, efficiency, and knowledge management within mission ... Demonstrated ability in project packaging and large-scale AI system deployment. * Potential for ...

Markon

Computer/Data Scientist

West Mifflin, PA

$128K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science integration to improve safety, efficiency, and knowledge management within mission ... Demonstrated ability in project packaging and large-scale AI system deployment. * Potential for ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Pittsburgh, PA

Data Science Project Manager information

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

As of Aug 16, 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 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 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 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:

Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $116,126 per year, or $55.8 per hour.

Data Scientist - Research and Development

Pittsburgh Pirates

Pittsburgh, PA • On-site

Full-time

Re-posted 21 days ago

Job description

The Pirates Why
The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by:
  • purposefully developing a player and people-centered culture;
  • deeply connecting with our fans, partners, and colleagues;
  • passionately creating lifetime memories for generations of families and friends; and
  • meaningfully impacting our communities and the game of baseball.

At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.
Job Summary
As a Data Scientist on the Pirates Research & Development team, you will help transform a wealth of baseball data - from box scores and player tracking to video and biomechanics - into actionable insights that drive the Pirates to make better, faster acquisition, development, and deployment decisions. You will work closely with other data scientists, analysts, and software engineers across Baseball R&D as well as other stakeholders across Baseball Operations (scouts, coaches, player development, front office) to turn your statistical and machine learning models into actionable decision tools.
Responsibilities:
  1. Design, build, validate, and deploy statistical and/or machine-learning models to support all facets of baseball operations, including scouting, player acquisition, player development, and on-field decision making.
  2. Build tools, prototypes, and visualizations to translate complex data and model results into insights understandable by coaches, players, and decision-makers.
  3. Communicate results and insights clearly to both technical and non-technical audiences.
  4. Partner with data engineers to build scalable data pipelines and maintain data quality.
  5. Stay abreast of new data sources, analytical techniques, and research.
  6. Help the organization experiment, learn, and iterate.

Qualifications
We recognize that no candidate will meet every qualification listed below. If you are excited about this role and believe you can add value to our work, we encourage you to apply even if your experience does not align perfectly with every requirement.
Required:
  1. Degree (or equivalent experience) in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Economics, Machine Learning, Biomechanics, Engineering, Operations Research).
  2. Demonstrated experience applying complex statistical and/or machine learning tools to real-world problems.
  3. Demonstrated proficiency in a programming language such as Python or R for data analysis and modeling.
  4. Demonstrated ability to communicate complex quantitative concepts clearly, both written and verbally.
  5. Demonstrated experience collaborating with others on data science projects.
  6. Authorized to work lawfully in the United States.

Desired:
  1. Familiarity with advanced statistical techniques (e.g., fixed-effect / random-effect models, generalized additive models, Bayesian modeling, probabilistic programming).
  2. Experience with machine-learning / deep-learning frameworks (e.g., PyTorch, Tensorflow), especially applied to high-dimensional, spatiotemporal, or biomechanical data.
  3. Background in computer vision, biomechanics, sports-science, or modeling of dynamic physical systems.
  4. Prior experience in sports analytics context; baseball is a plus.
  5. Experience with database languages (e.g., SQL) and working with large / relational datasets.

Equal Opportunity Employer
The Pittsburgh Pirates are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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