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Part Time Data Science Jobs in Pittsburgh, PA (NOW HIRING)

Location: Kamin Science Center - 1 Allegheny Avenue, Pittsburgh, PA 15212. Note: online ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: This ...

Location: Kamin Science Center - 1 Allegheny Avenue, Pittsburgh, PA 15212. Note: online ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: This ...

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Part Time Data Science information

See Pittsburgh, PA salary details

$8

$44

$106

How much do part time data science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for part time data science in Pittsburgh, PA is $44.30, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $65.81 per hour, depending on experience, location, and employer.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What are the most commonly searched types of Data Science jobs in Pittsburgh, PA?

The most popular types of Data Science jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Part Time Data Science jobs?

Cities near Pittsburgh, PA with the most Part Time Data Science job openings:

Infographic showing various Part Time Data Science job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 3% Full Time, and 97% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $92,145 per year, or $44.3 per hour.

Temporary part-time Community Research Assistant

Greater Pittsburgh Community Food Bank

Duquesne, PA

$20/hr

Part-time, Temporary

Posted 3 days ago

New


Job description

Description

Job Title:  Temporary Part-Time Community Research Assistant

Reports To:  Community Data Analyst

FLSA Status:  Non-Exempt

Department:  Programs 

Pay Rate: $20 / hour for 3-10 hours weekly 

Posted Date:   August 2026

Please Note: This position is for up to three-years, and expected to work 3 to 10 hours per week  

End Date: Positions are funded through the end of July 2028, and candidates may hold the position for up to three years.


At Greater Pittsburgh Community Food Bank, we are dedicated to fostering equity and inclusion. Our organization thrives when every member of the community we serve is included in the conversations, helping us ensure that all our neighbors have sufficient access to food. We invite candidates from all backgrounds, including but not limited to race, gender, sexual orientation, and abilities, to join our team.

Job Summary: 

The Community Research Assistant supports on-location, in-person data collection efforts to expand the Food Bank's understanding of neighbor experience. This role requires travel to food distribution locations and partner organizations throughout the Food Bank's 11-county service area. The Community Research Assistant will administer surveys, co-facilitate listening sessions, and provide other support as needed to collect neighbor feedback. This is a part-time position funded by Feeding America with an anticipated commitment of 3 to 10 hours per week.

Requirements

Key Responsibilities 

  • Facilitate on-location, in-person collection of survey feedback from neighbors participating in food assistance programs throughout the Food Bank's 11-county service area.
  • Administer feedback collection activities in a way that is respectful to neighbors, accessible, minimizes bias, and aligns with best practices.
  • Support Community Data Analyst and other Programs Department staff to meet established feedback collection goals and objectives.
  • Contribute to design of feedback collection methods including providing input on language and methodology.
  • Collaborate with the Community Data Analyst and partner organizations to facilitate listening sessions, focus groups, and other qualitative data collection activities.
  • Transcribe data from paper-based or other analog sources into digital formats, as needed.
  • Assist with data cleaning, organization, and formatting to support accurate analysis and interpretation. 
  • Treat all neighbors with respect and kindness, maintaining dignity while supporting food assistance services.
  • Other data collection support tasks as assigned.

Qualifications

  • Academic background in a field requiring data collection, analysis, and interpretation including but not limited to data science, public health, health science, social Work, or other related fields. 
  • Demonstrated experience with survey research preferred. 
  • Strong interest in addressing food security and other social determinants of health preferred.
  • Ability to work with people from diverse social and ethnic backgrounds across all age groups from children to senior citizens.
  • Ability to work independently and as part of a team.  
  • Ability to work evening and weekend hours as needed to accommodate distribution schedules. 
  • Have a personal vehicle and valid PA drivers' license. 
  • Able to obtain act 33 & 34 Clearances.
  • Must be able to complete active tasks for long periods of time, including but not limited to navigating food distribution sites for the duration of events and occasional lifting of objects up to 50 pounds.


Disclaimer: 

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities, duties, and qualifications required of employees assigned to this job.