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Part Time Data Science Analytics Jobs in Pittsburgh, PA

GAI Consultants

SPC Soil Scientist

Canonsburg, PA

Prepare initial draft reports that compile field investigation data and engineering analysis for review by project managers and supervisors. Requirements * Certification by the Soil Science Society ...

GAI Consultants

SPC Soil Scientist

Homestead, PA

Prepare initial draft reports that compile field investigation data and engineering analysis for review by project managers and supervisors. Requirements * Certification by the Soil Science Society ...

GAI Consultants

SPC Soil Scientist

Homestead, PA · On-site

Prepare initial draft reports that compile field investigation data and engineering analysis for review by project managers and supervisors. Requirements * Certification by the Soil Science Society ...

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All JobsData Science Analytics JobsPart Time Data Science Analytics JobsPart Time Data Science Analytics Jobs in Pittsburgh, PA

Part Time Data Science Analytics information

See Pittsburgh, PA salary details

$36.4K

$119.2K

$190.8K

How much do part time data science analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for part time data science analytics in Pittsburgh, PA is $119,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Science Analytics jobs in Pittsburgh, PA? The most popular types of Data Science Analytics jobs in Pittsburgh, PA are:
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Part Time Data Science Analytics jobs near you
Infographic showing various Part Time Data Science Analytics job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $119,156 per year, or $57.3 per hour.
Special Faculty - Lecturer

Special Faculty - Lecturer

Carnegie Mellon University

Pittsburgh, PA • On-site

Part-time

Posted 16 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 612 rated colleges and universities

Job description

Description
The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) invites applications for a Lecturer - Special Faculty (Teaching - Part-time), Fall 2026. This person would be teaching the in-person Statistical Graphics and Visualization course.
The Department is seeking candidates with a passion for Statistics and/or Data Science and a desire to make a significant impact on the Department's educational mission. A successful candidate will be expected to have strong teaching skills. We welcome applicants working in all areas of statistics and data science, as well as related interdisciplinary fields.
Lecturers are responsible for leveraging their expertise to deliver education services to our students through:
  • Preparing course plans and materials
  • Delivering courses
  • Monitoring progress/attendance
  • Advising students
  • Recording grades and submitting reports
  • Sourcing and documenting related data sets

Teaching ratio is approximately 3 hours in class per week; approximately 9 hours outside of class. This class is in-person on the Pittsburgh campus.
Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research.
Qualifications
Master's or Doctorate degree in a relevant field, or an equivalent amount of professional experience. The instructor should be a practitioner or academic with direct experience with the topic to be covered. Recent experience in teaching prior statistics and/or data science courses at the college/university level preferred.
Application Instructions
Applicants for this position should submit the following materials:
  • A cover letter of intent that describes their interest in the position and potential contributions to the academic and broader community.
  • Curriculum vitae.
  • Teaching statement that reflects the applicant's approach to wide-ranging and effective instruction and previous experience

Applicants may also include additional materials-such as a website, previous course materials, portfolio, or unofficial transcripts-to further support their application.

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