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Quantitative Researcher Machine Learning Jobs in Monroeville, PA

Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours ... D. in a quantitative or computational discipline * Experience with machine learning or advanced ...

Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours ... D. in a quantitative or computational discipline * Experience with machine learning or advanced ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ...

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at ...

To learn more visit: www.waabi.ai You will... - Be part of a team of multidisciplinary Research ... Machine Learning, Computer Vision, or Robotics conferences. - Strong quantitative background and ...

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How much do quantitative researcher machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for quantitative researcher machine learning in Monroeville, PA is $117,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $150,900.00 per year, depending on experience, location, and employer.

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Research Data Scientist

System One

Pittsburgh, PA • On-site

Full-time

Re-posted yesterday


Job description

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May 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