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Parttime Data Science Jobs in Pittsburgh, PA (NOW HIRING)

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Parttime Data Science information

See Pittsburgh, PA salary details

$44.7K

$160.2K

$236.4K

How much do parttime data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for parttime data science in Pittsburgh, PA is $160,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,600.00 and $165,000.00 per year, depending on experience, location, and employer.

What is the difference between Parttime Data Science vs Parttime Data Analyst?

AspectParttime Data ScienceParttime Data Analyst
Required SkillsStatistical analysis, programming (Python/R), machine learningData visualization, basic statistics, Excel, SQL
Work EnvironmentTech companies, startups, research projectsBusiness, marketing, finance departments
Common CertificationsCertified Data Scientist, Python certificationsMicrosoft Excel, SQL certifications

Parttime Data Science roles typically require advanced skills in programming and machine learning, often found in tech or research settings. In contrast, Parttime Data Analyst positions focus on data visualization and basic analysis, suitable for business or marketing environments. Both roles are popular in various industries, but Data Science generally demands more technical credentials and programming expertise.

What are popular job titles related to Parttime Data Science jobs in Pittsburgh, PA?

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

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

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

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

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

Parttime Data Science jobs near you

Master's Level Internship: Program Evaluation

Allegheny Intermediate Unit

Pittsburgh, PA • On-site

$20/hr

Part-time

Re-posted 3 days ago

Job description


Duties and Responsibilities:
1. Work collaboratively with colleagues to conduct all phases of data collection including development of questionnaires, instruments or protocols; item development and testing; sample design; field procedures; data quality; and other administrative tasks associated with carrying out a successful project.
2. Analyze and interpret qualitative and quantitative data using a variety of methods (e.g., surveys, interviews, focus groups, administrative data, observations, document reviews).
3. Assist with preparation of descriptive and analytical reports and presentations of analysis results, including development of tables, charts, dashboards, infographics, and other data visualizations to communicate findings.
4. Coordinate with colleagues to understand client needs and ensure alignment between instruments and client questions.
5. Manage client relationships in order to ensure customer satisfaction and work sustainability.
6. Collaborate with clients and project partners to design and implement efficient processes to accomplish client and project goals.
7. Assist with data quality checks and data entry as needed.
8. Evaluate reliability of source information based on needs of various projects.
9. Develop procedures and protocols for implementing formative and summative evaluations.
10. Perform other duties as requested.
Qualifications:
1. Must be currently enrolled in master's level program in public health, social sciences, statistics, public policy, or a related field.
2. Excellent interpersonal and customer service skills and ease with a variety of people.
3. Experience with Microsoft Excel required; familiarity with SPSS, R, Stata, Power BI, Tableau, GIS, NVivo, Qualtrics, SurveyMonkey, or other statistical or qualitative analysis software is a plus.
4. Ability to work independently, to take initiative and solve problems, and to work collaboratively and on teams.
5. Ability to plan workflow, organize and prioritize, handle multiple tasks simultaneously, and meet deadlines required.
6. Excellent written and oral communication skills, including an ability to translate analysis findings for a variety of audiences.
7. Experience managing, cleaning and analyzing datasets is preferred.
8. Coursework in research methods, statistics, program evaluation, or data analysis preferred.
9. Ability to build trust and positive working relationships with multiple internal and external stakeholder groups; able to promote high expectations and high quality for all constituents required.
10. Organized, detail oriented and enjoys learning new skills.
11. Skilled in the use of Microsoft Office Suite and willingness to experiment and work with new technologies.
12. Ability to comply with the AIU Conduct Policy.
13. Ability to work in a hybrid work environment with flexibility for remote work and occasional in-person meetings, client visits, or data collection activities.
Schedule: Part-time
Pay: $20 per hour

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