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Part Time Remote Data Science Jobs in Philadelphia, PA

Eastern University

Adjunct Faculty- Data Science

PA · On-site +1

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... Part-time Regular staff who are scheduled 30-36 hours per week over the course of a year, receive a ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

MasTec Inc

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

Job Summary We are currently seeking a part time Wetland Delineator/Environmental Scientist/Wetland ... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey.

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All JobsData Science JobsPart Time Remote Data Science JobsPart Time Remote Data Science Jobs in Philadelphia, PA

Part Time Remote Data Science information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

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

As of Jul 27, 2026, the average yearly pay for part time remote data science in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 per year, depending on experience, location, and employer.

How do part-time remote data scientists typically collaborate with full-time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Scientist, and why are they important?

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.
What are the most commonly searched types of Remote Data Science jobs in Philadelphia, PA? The most popular types of Remote Data Science jobs in Philadelphia, PA are:
What are popular job titles related to Part Time Remote Data Science jobs in Philadelphia, PA? For Part Time Remote Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Philadelphia, PA look for? The top searched job categories for Part Time Remote Data Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Part Time Remote Data Science jobs? Cities near Philadelphia, PA with the most Part Time Remote Data Science job openings:
Part Time Remote Data Science jobs near you
Infographic showing various Part Time Remote Data Science job openings in Philadelphia, PA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $123,854 per year, or $59.5 per hour.
Adjunct Faculty- Data Science

Adjunct Faculty- Data Science

Eastern University

PA • On-site, Remote

Part-time

Medical, Life, Retirement, PTO

Posted 15 days ago

Job description

Location : St. Davids
Job Type: Adjunct Faculty
Remote Employment: Remote Optional
Job Number: 515
Department: Data Science - (College of Health and Sciences)
Opening Date: 01/25/2024
Join our vibrant community of dedicated faculty and staff who work to create a transformative educational experience rooted in faith, reason, and justice.
Eastern University is a nationally-recognized Christian university enrolling approximately 9,000 students in a wide array of undergraduate, graduate, professional, and seminary programs. The university's main campus is located in St. Davids, PA, with many programs also offered online. Eastern's core values of Faith, Reason, and Justice are woven into all of its educational offerings. Through dynamic programs, a vibrant campus community, and meaningful service learning opportunities, Eastern University is committed to providing students with transformative, accessible, and affordable education.
Position Description
Eastern University, a Christian university of humanities, health, arts and natural and social sciences, invites applications for an adjunct instructor of Data Science. Positions are available for both on-ground synchronous and online asynchronous instruction. This position can be remote.
We seek instructors for courses including material in the following areas:
  • Python
  • R and Tidyverse
  • Databases and database management with SQL
  • Business analytics
  • Introductory statistics
  • Intermediate statistics
  • Machine learning
  • Data visualization
  • Data manipulation

Qualifications
Preferred applicants will have a M.S. or Ph.D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and experience teaching at the college/university level.
Supplemental Information
To apply, applicants must submit a cover letter to include a brief statement of their faith, curriculum vitae, unofficial copies of graduate transcripts, and three current professional references.
About Eastern University
Eastern University is a Christian university of the arts and sciences that integrates faith, reason and justice for students in its undergraduate, graduate, seminary, urban, professional and international programs. Applicants should have a Christian commitment compatible with its mission and be willing to support the mission and vision of the university. The university complies with federal and state guidelines of nondiscrimination in employment; members of protected classes encouraged to apply.
Background Checks
Standard University employees are required to complete the background clearance process. Employment is contingent upon the successful results of an employment background screening. The employment background screening may include but is not limited to your consumer credit history (for positions that work with the university finances or alumni funds only), verification of education and professional credentials, criminal history, driving history, residency, immigration status, performance, references, and other qualities pertinent to your qualifications for the following position.
Youth Clearances are required for positions with direct contact with children and essential personnel positions. Employees working with or around minor age children are required to complete the youth clearance process which includes the following four child protection clearances:
1) Affidavit;
2) FBI Criminal Record Check;
3) Pennsylvania Department of Human Services Child Abuse History Clearance and;
4) Pennsylvania State Police Criminal Record Check.
In accordance with state laws, Act 73 of 2007, Act 153 of 2014, Act 168 (relating to the Child Protective Services Law), school employees of Eastern University who will have "direct contact with children" must complete the background check process prior to employment. Results must be submitted within ten days of receipt.
Description Disclaimer
This description is intended to describe the general level and nature of work performed by the person/people assigned to this position. It is not to be construed as an exhaustive list of duties and responsibilities of the person/people so assigned.
For all positions: Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Statement of Non-Discrimination
Eastern University is committed to the principles of equal opportunity as defined under federal and state law, and does not discriminate unlawfully on the basis of race, gender, sexual orientation, color, creed, disability, national/ethnic origin, age, disabled veteran/Vietnam-era, Genetic Information and Nondiscrimination Act (GINA), or veteran status in its admission policy, program, or activities, educational policies, scholarship and loan programs, athletic and other University-administered programs, or employment practices and programs.
We offer a complete benefits package to full-time faculty and staff including healthcare coverage, retirement plan contributions, flexible spending and health savings accounts, life insurance, long-term and short-term disability, tuition remission and tuition exchange participation as well as an extensive holiday, summer hours and paid time off leave schedule.
Part-time Regular staff who are scheduled 30-36 hours per week over the course of a year, receive a full benefit package based on their part-time scheduled hours. Healthcare coverage is based on the ACA medical coverage guidelines. Affiliate faculty receive a benefit package as outlined with their covenant. Adjunct faculty may be eligible for medical coverage under the ACA after an annual one year lookback review.
Part-time staff who are scheduled to work less than 30 hours per week schedule are eligible for employer contribution towards the retirement plan after one year of employment. Eligibility rules apply. Adjunct faculty may make employee deferral contributions towards the retirement plan.
Part-Time Graduate Assistant Coaches are eligible for participation in the Tuition Remission Coaches Program.
Temporary, Contractors and Seasonal Employees: Individuals in this status are scheduled on an as-needed-basis and are not eligible for participation in the University's benefits programs.
Detailed information regarding our benefits program and eligibility is provided once hired or you can contact Human Resources with any questions.

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