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Remote Data Science Jobs in Ohio (NOW HIRING)

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0241818 Location: Dayton,OH,US Share job via: Share Data Analyst The ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... science, technology, and innovation problems. This work is in support of US Air Force and ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies including decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.  

This position requires a highly skilled AI expert capable of delivering complex data science projects independently while guiding other data scientists through technical expertise and code reviews.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.

Showing results 21-40

Remote Data Science information

See Ohio salary details

$21.5K

$95.6K

$182.4K

How much do remote data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data science in Ohio is $95,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,362.00 and $132,547.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

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 Remote Data Science jobs?

Cities in Ohio with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $95,562 per year, or $45.9 per hour.

Predictive Modeler / Pricing Modeler - Commercial Actuarial - Remote

Veterinary Pet Insurance

Columbus, OH • Remote

$53 - $68.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care.

Nationwide's Commercial Lines team is hiring a Predictive Modeler / Pricing Modeler to help shape sophisticated insurance pricing models and deliver insights that influence business decisions. This role is ideal for someone who brings strong technical modeling skills and either a solid actuarial foundation, commercial insurance knowledge, or both.

In this position, you will work at the intersection of predictive analytics, actuarial thinking, and pricing strategy. You will partner closely with teammates and business partners to build, enhance, and refine models that support commercial insurance pricing. You will also have the opportunity to work across a variety of projects, expand your technical toolkit, and deepen your understanding of how modeling drives real business outcomes.

What makes this opportunity stand out:

  • A unique blend of predictive modeling, pricing, and commercial actuarial work

  • Highly visible projects that support important pricing decisions

  • The chance to work with R, Python, SQL, and modern modeling techniques in a business-critical environment

  • Exposure to insurance data, actuarial mechanics, and the nuances of commercial lines pricing

  • A collaborative team structure where modeling, actuarial, and business expertise come together

  • Broad skill development across predictive analytics, actuarial concepts, and cross-functional partnership

  • The opportunity to contribute quickly if you already understand insurance, actuarial modeling, or pricing workflows

We are especially interested in candidates who can combine technical modeling ability with practical business application. Strong candidates may come from actuarial, predictive modeling, pricing analytics, or data science backgrounds, but they should be excited by insurance use cases and motivated to work in a role where actuarial and modeling foundations both matter.

The strongest profiles will typically offer a mix of the following:

  • Predictive modeling or pricing model experience

  • Commercial insurance, property and casualty, or broader insurance analytics experience

  • Knowledge of actuarial concepts, pricing mechanics, or loss cost / relativity-based thinking

  • Hands-on coding experience in R, Python, SQL, or similar analytical tools

  • The ability to translate data into actionable pricing or underwriting insight

  • Strong problem-solving skills and the ability to work through technical detail in a collaborative setting

This is not a pure data science role removed from the business, and it is not a traditional actuarial role in the narrow sense. It is a hybrid opportunity for someone who wants to apply predictive modeling in a commercial actuarial and insurance pricing environment, learn from strong partners, and grow into an even more versatile analytics professional.

If you want to build models that matter, strengthen your pricing and actuarial expertise, and work on meaningful commercial insurance challenges, this role offers the chance to do exactly that. This role can be staffed remote.

#LI-REMOTE

#LI-SM1

Job Description Summary

Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.
As a Consultant, you'll work on projects associated with the design, development, and application of unique risk models. You'll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We'll count on you to be a subject matter authority in Nationwide's risks. It's imperative that you are fully proficient with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.

Job Description

Key Responsibilities:

  • Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.

  • Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.

  • Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.

  • Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.

  • Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.

  • Crafts and updates model documentation for business continuity purposes.

  • Collaborates to develop creative solutions to business problems.

  • Acts as the technology owner for Risk Analytics.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills and Experiences:

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Experience: Typically, five or more years of related work experience in financial risk modeling or actuarial functions.

Knowledge, Abilities and Skills: Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Solid understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Proficient written and verbal communication skills. Intermediate proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the hiring manager's leader and Human Resources Business Partner.

Values: Regularly and consistently demonstrates Nationwide Values.

Job Conditions:

Overtime Eligibility: Not Eligible (Exempt)

Working Conditions: Normal office environment.

ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

We currently anticipate accepting applications until 09/03/2026. However, we encourage early submissions, as the posting may close sooner if a strong candidate slate is identified before the deadline.

Benefits

We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage,paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

This position could be filled within any of the lower 48 U.S. states.Smoke-Free Iowa Statement: Nationwide Mutual Insurance Company, its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act, individuals may contact the Smokefree Air Act Helpline at 888-944-2247.
For NY residents please review the following state law information: Notice of Employee Rights, Protections, and Obligations LS740 (ny.gov) https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf

NOTE TO EMPLOYMENT AGENCIES:

We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule.The national salary range for Consultant, Risk Analytics Researcher : $118,000.00-$222,000.00The expected starting salary range for Consultant, Risk Analytics Researcher : $118,000.00 - $178,000.00