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Part Time Data Science Jobs in Ohio (NOW HIRING)

Principal Scientist FLSA Status: Part-Time (Non-Exempt) Department: Technical Deliverables Position ... From analyzing brightness data from man-made space objects in earth's orbit to mathematical ...

$22.75 - $30.75/hr

Reviews data obtained by other members of health care team and incorporates into assessment ... Uses scientific knowledge, Critical thinking skills, technical skills, and effective interpersonal ...

$16.75 - $21.50/hr

Data Management- Manage records per department policy. Assist with collection of data for various ... advancing science and discovery. We strive to do better and find energy and inspiration in our ...

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Part Time Data Science information

See Ohio salary details

$8

$42

$102

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

As of Jul 13, 2026, the average hourly pay for part time data science in Ohio is $42.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.06 and $63.72 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

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 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.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

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.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

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.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
What are the most commonly searched types of Data Science jobs in Ohio? The most popular types of Data Science jobs in Ohio are:
What cities in Ohio are hiring for Part Time Data Science jobs? Cities in Ohio with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Ohio as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $89,230 per year, or $42.9 per hour.

Part-time Faculty, Mathematics - STEM

Youngstown State University, OH

Youngstown, OH • On-site

Part-time

Posted 26 days ago


Job description

Location : Youngstown, Ohio
Job Type: Part-time Faculty
Job Number: 202600049
Division: Academic Affairs
Department: Mathematics & Statistics
Opening Date: 02/18/2026
Closing Date: 2/18/2027 11:59 PM Eastern
Bargaining Unit Status: Excluded from Any Bargaining Unit
Salary Grade: PF
Additional Information: Part-time faculty are pooled positions; appointments are made on an as needed/rolling basis.
Summary of Position
Teach by semester for entry-level mathematics and statistics courses, including, but not limited to, undergraduate-level general education statistics, college algebra, quantitative reasoning, or trigonometry. Develop and deliver face-to-face, hybrid, and online instruction in mathematics and statistics.
Position Information
Plans, organizes, teaches, and provides feedback to promote and direct student success. Responds to students in a timely manner. Communicates with students, departments, and university officials via university provided tools and resources.
An Institution of Opportunity: YSU inspires individuals, enhances futures, and enriches lives.
As a student-centered university, Youngstown State University's mission is to provide innovative lifelong learning opportunities that will inspire individuals, enhance futures, and enrich lives. YSU inspires individuals by cultivating a curiosity for life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development. YSU's culture of enrichment flourishes in our intellectually diverse, accessible, and quality education.
Work Schedule: Typically, Monday through Friday. Teaching assignments may be remote or at YSU Campus.
Primary Location: Youngstown
Qualifications and Competencies
Required Certifications, Training, and/or Licensures: None
Sponsorship and/or Work Authorization Status: Must be currently authorized to work in the United States on a full-time basis.
Minimum Qualifications: At least a master's degree in mathematics or master's degree in a related field with eighteen graduate hours in mathematics, statistics, or data analytics. Must be currently authorized to work in the United States on a full-time basis.
Preferred Qualifications: Prior college-level teaching experience or appropriate K-12 teaching certification. Proficiency with instructional tools and technology. Experience teaching online courses or experience with WebAssign, MyLabsPlus/MyMathLab and/or Assessment and Learning in Knowledge Spaces (ALEKS).
Physical Requirements: In accordance with the U.S. Department of Labor physical demands strength ratings, this position will perform sedentary work.
Sedentary: work involves exerting up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs may be defined as Sedentary when walking and standing are required only occasionally, and all other Sedentary criteria are met.
Supplemental Information
Please upload all transcripts as one PDF file.
At time of hire, all candidates must provide official transcripts. Official transcripts must be provided in an unopened, sealed envelope and must bear the embossed or raised college seal, date and Registrar's signature.
A cover letter should indicate the applicant's area of interest (Mathematics). For additional information contact: Thomas Wakefield tpwakefield@ysu.edu.
This position is not eligible for benefits.
01
Do you have at least a master's degree in mathematics OR a master's degree in a related field with eighteen graduate hours in mathematics, statistics, or data analytics?
  • Yes
  • No

02
What is the highest level of education that you have attained?
  • Did not complete high school.
  • High school diploma/GED or equivalent
  • Some college
  • Associate's degree
  • Bachelor's degree
  • Master's degree
  • Doctoral degree
  • Post doctoral degree
  • Juris doctor degree

03
Please describe your related experience, including information describing how you meet the minimum qualifications for this position.
Required Question