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Part Time Data Science Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Summit Consulting

Technical Product Manager

Cincinnati, OH · On-site

$160K - $185K/yr

The role partners closely with business units, underwriting, claims, actuarial, data science, IT ... Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) ...

SwiftCruit

Technical Product Manager

Cincinnati, OH · On-site +1

$160K - $185K/yr

The role partners closely with business units, underwriting, claims, actuarial, data science, IT ... Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Ohio

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 11, 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.
More about Part Time Data Science jobs
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 are popular job titles related to Part Time Data Science jobs in Ohio? For Part Time Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Ohio look for? The top searched job categories for Part Time 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:
Part Time Data Science jobs near you
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.
Data Analytics & GIS Internship (Part-Time)

Data Analytics & GIS Internship (Part-Time)

City of Westerville

Westerville, OH

$33K - $44K/yr

Part-time

Posted 12 days ago

Job description

Description This position is open until filled. Applications are being reviewed as they are received. The purpose of the Data Analytics & Geographic Information Systems (GIS) Internship program is to provide students of Data Analytics & GIS-related studies with professional Data Analytics & GIS experience in a public sector organization.

This internship position will support citywide Data Analytics & GIS from the Information Technology (IT) department. This program is intended to provide part-time employment in the Data Analytics & GIS field. Upon the student's graduation and completion of the Data Analytics & GIS internship, the student should have received adequate training and experience necessary for an entry-level Data Analytics & GIS job.

SUPERVISION This position does not have any supervisory responsibilities. ESSENTIAL FUNCTIONS OF WORK A qualified candidate must be able to do the following: Perform entry level Data Analytics & GIS work, including the creation and maintenance of GIS data within ArcGIS Pro and ArcGIS Online. Assist in data clean-up and data quality testing.

Assist in producing printed and virtual maps for stakeholders. Assist in troubleshooting stakeholders' issues and training. Assist with creating and updating project documents and instructions.

Perform other related tasks as assigned. Careful review and attention to detail is a must. Data analysis and reporting from a variety of sources.

Use data visualization software to present findings. MINIMUM REQUIREMENTS OF WORK The applicant must be currently enrolled in a relevant undergraduate, graduate, professional certificate program such as Geography, Computer Science, Data Science, Management Information Systems, Environmental Sciences, Political Sciences, Public Administration, or other related fields. Applicants must have prior hands-on experience in an academic or project setting with Data Analytics or GIS Applications.

Must have effective time management and demonstrated ability to meet project deadlines and goals with minimal supervision. The position will require occasional travel within the municipality for field data collection and meetings with departments.

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