ZipRecruiter

Log In

1

Part Time Remote Data Science Jobs in Columbus, OH

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Battelle

Data Scientist II

Columbus, OH · On-site

Master's or doctoral degree in quantitative science, social science, or a related discipline ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

Battelle

Data Scientist I

Columbus, OH · On-site

Bachelor's degree in quantitative science, social science, or a related discipline * Proficiency ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

Huntington

GenAI Lead Data Scientist

Columbus, OH

Master's degree in computer science, statistics, economics or related field * 5+ years of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

GenAI Lead Data Scientist

Columbus, OH · On-site

Master's degree in computer science, statistics, economicsor related field * 5+ years of experience ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

GenAI Lead Data Scientist

Columbus, OH · On-site

PhD in computer science, statistics, economics or related fields Expert understanding of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

next page

Showing results 1-20

All JobsPart Time Remote Data Science JobsPart Time Remote Data Science Jobs in Columbus, OH

Part Time Remote Data Science information

See Columbus, OH salary details

$36.2K

$118.6K

$189.8K

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

As of Jun 9, 2026, the average yearly pay for part time remote data science in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 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 popular job titles related to Part Time Remote Data Science jobs in Columbus, OH? For Part Time Remote Data Science jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Columbus, OH look for? The top searched job categories for Part Time Remote Data Science jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Part Time Remote Data Science jobs? Cities near Columbus, OH with the most Part Time Remote Data Science job openings:
Part Time Remote Data Science jobs near you
Senior Data Scientist - Marketing Sponsorships

Senior Data Scientist - Marketing Sponsorships

Huntington National Bank

Columbus, OH • On-site

$70K - $140K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago

Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 162 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Description
Overview:
Our Enterprise Data and Analytics team is growing, and we're seeking an outstanding Senior Data Scientist to support and scale our continually expanding sponsorship portfolio. At Huntington, you will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve. Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal.
As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
Responsibilities:
  • Performs advanced analytics methods to extract value from business data
  • Performs large-scale experimentation and build data-driven models to answer business questions
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
  • Determines requirements that will be used to train and evolve deep learning models and algorithms
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset
  • Influences product teams through presentation of data-based recommendations
  • Evangelizes best practices to analytics and products teams
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
  • Performs other duties as assigned

Basic Qualifications:
  • Master's degree in computer science, statistics, economics or related fields
  • 1+ years' work and/or educational experience in machine learning or cloud computing, experience using statistics, machine learning, and AI to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.

Preferred Qualifications:
  • Up-to-date knowledge of machine learning, AI, and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Financial Services background preferred

#LI-NG1
#LI-Onsite
Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Compensation Range:
$70,000-$140,000 annually
The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).
Huntington is an Equal Opportunity Employer.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

What Huntington National Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply