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Data Science Jobs in Ohio (NOW HIRING)

Qnity

Senior Data Scientist

Delaware, OH

For experienced data science candidates, this is an exciting opportunity to join a growing team that plays a vital and dynamic role in the company. Qnity is a market leader in specialty materials for ...

EssilorLuxottica

Data Scientist

Mason, OH · On-site

Translate ambiguous business problems into structured data science statements * Organize exploratory analysis, experimentation, and research frameworks * Structure scalable ML pipelines for training ...

84.51˚

Senior Data Scientist (P1553)

Cincinnati, OH · On-site

Job Summary : 84.51° is a retail data science, insights and media company that helps clients create personalized shopping experiences. The Senior Data Scientist will lead analytics projects ...

EssilorLuxottica Group

Data Scientist

Mason, OH

Translate ambiguous business problems into structured data science statements * Organize exploratory analysis, experimentation, and research frameworks * Structure scalable ML pipelines for training ...

Essilor

Data Scientist

Mason, OH

Translate ambiguous business problems into structured data science statements * Organize exploratory analysis, experimentation, and research frameworks * Structure scalable ML pipelines for training ...

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

Maintain engagement with the data science community and current industry developments to assist in driving technical data science team vision and strategy Requirements: * Master's Degree in a ...

Booz Allen Hamilton

Data Scientist

Beavercreek, OH · On-site

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 2+ years of experience with data cleansing, analysis, visualization, API connections, or data mining * 2+ ...

Booz Allen Hamilton

Data Scientist

Beavercreek, OH

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 2+ years of experience with data cleansing, analysis, visualization, API connections, or data mining * 2+ ...

PNC Bank

Data Scientist

Strongsville, OH · On-site

This role spans both traditional data science responsibilities and emerging generative AI capabilities, with an emphasis on designing, implementing, and operating agents that leverage Copilot and ...

Booz Allen Hamilton

Data Scientist

Beavercreek, OH · On-site

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 2+ years of experience with data cleansing, analysis, visualization, API connections, or data mining * 2+ ...

Penske

Staff Data Scientist

Beachwood, OH · On-site

Lead Data Science Projects * Translate complex business requirements into robust, scalable technical solutions. * Select and implement appropriate modeling techniques, including classical ML, deep ...

TQL

Data Scientist

Cincinnati, OH

Advanced degree preferred or equivalent experience 3-5 years of professional data science or machine learning experience Strong proficiency in Python and ML libraries Experience with cloud platforms ...

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All JobsData Science JobsData Science Jobs in Ohio

Data Science information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about 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 Data Science jobs in Ohio? For Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Ohio look for? The top searched job categories for Data Science jobs in Ohio are:
What cities in Ohio are hiring for Data Science jobs? Cities in Ohio with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.
Senior Data Scientist

Senior Data Scientist

Qnity

Delaware, OH

Full-time

Posted 8 days ago

Job description

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we're more than a global leader in materials and solutions for advanced electronics and high-tech industries - we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist. This position will be at Qnity's corporate headquarters in Wilmington, DE. For experienced data science candidates, this is an exciting opportunity to join a growing team that plays a vital and dynamic role in the company.

Qnity is a market leader in specialty materials for electronic devices and semiconductor fabrication. In this role, the Data Scientist will collaborate with clients within the company engaged in a variety of research & development, manufacturing, and business activities.

Statistics and data science are integral to our business and there are exciting opportunities for technical contributions in a variety of areas.

  • New product development
  • Continuous improvement in manufacturing
  • Sales growth and forecasting
  • Supply chain optimization
  • Text analytics for competitive analysis
  • Product testing in field applications

A strong candidate will have expertise in data science practices such as data cleaning, regression, machine learning, and cross-validation. The applicant should have fluent coding skills in R or Python with the ability to prepare data for analysis, build models, and create descriptive plots and reports.

Beyond these technical skills, the job requires an organized worker who can plan a data analysis activity as a series of logical steps, effectively communicate their methods and results to clients in the business, identify opportunities that worth resolving to bring in a great value, and collaborate with our data engineering and software development teams to query data and deploy models.

Required Skills & Education

  • PhD in Chemical Engineering or Material Science; or MA with +5 industrial experience
  • Coding skills in R or Python including data preparation, regression, and plotting
  • Some formal education in statistics, including regression and hypothesis testing
  • Expertise in machine learning techniques like random forest, xgboost, lasso, cross-validation, and hyperparameter tuning
  • Basic competency with SQL database queries
  • At least five years of experience applying statistics and data science to solve business, engineering, or scientific problems
  • Independent problem identification and business value estimation
  • Self-learning with the intellectual curiosity to keep abreast of advances in the field, grow data science expertise, and refine grasp of internal business operations over time
  • Effective interpersonal skills for communicating technical concepts to a layperson, collaborating with team members, and confidence presenting data analysis results to internal clients.

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Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit ourAccessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

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