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Data Science Jobs in Ohio (NOW HIRING)

VTG

Data Scientist

Beavercreek, OH

Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB) * Knowledge of data modeling principles * Experience in knowledge extraction and ...

Vosper Thornycroft Group

Data Scientist

Beavercreek, OH · On-site

$120 - $150/hr

Bachelor's Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field * 4+ years of experience as a Data Scientist including experience in statistical ...

VTG

Data Scientist

Beavercreek, OH · On-site

Bachelor's Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field * 4+ years of experience as a Data Scientist including experience in statistical ...

VTG

Data Scientist

Beavercreek, OH · On-site

Bachelor's Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field * 4+ years of experience as a Data Scientist including experience in statistical ...

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of ...

BGI, LLC

Computer Science and Data Science

Akron, OH · On-site

Job Title Computer Science and Data Science Location Akron, OH - Akron, OH 44311 US (Primary) Position Summary and Job Responsibilities BGI has regular employment opportunities for highly motivated ...

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data to support intelligence production * Assist in developing approaches to address key ...

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data to support intelligence production * Assist in developing approaches to address key ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

Experience in data science or analytics * Experience with natural language processing or text mining * Experience with data exploration, data cleaning, data analysis, data visualization, or data ...

Radiance Technologies

Data Scientist

Beavercreek, OH

Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data to support intelligence production * Assist in developing approaches to address key ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site +1

$77K - $176K/yr

Experience in data science or analytics * Experience with natural language processing or text mining * Experience with data exploration, data cleaning, data analysis, data visualization, or data ...

Booz Allen Hamilton

Data Scientist

Dayton, OH

$77K - $176K/yr

Experience in data science or analytics * Experience with natural language processing or text mining * Experience with data exploration, data cleaning, data analysis, data visualization, or data ...

Booz Allen Hamilton

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

Experience in data science or analytics * Experience with natural language processing or text mining * Experience with data exploration, data cleaning, data analysis, data visualization, or data ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

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

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

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

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Showing results 21-40

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 Aug 16, 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.

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 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.

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.

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 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.
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 August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Scientist

VTG

Beavercreek, OH

Full-time

Posted 10 days ago

Job description

Overview

VTG is seeking a Data Scientist to support our Team in Beavercreek, OH. The Data Scientist will design, prototype, and implement a data management and application development pipeline in support of national defense data science and data architecture prototyping tasks. This role will also include gathering and organizing data, conducting data analytics, and developing data analytic and AI/ML based applications. This is an onsite role due to its classification level.


What will you do?

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range of novel solutions. This data scientist would be involved at all levels of the data life cycle from onboard management of data to its use in application development and back to application integration and gathering test data.

  • Leverage third-party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment
  • Perform data analytics of simulated and real-world data
  • Integrate structured and unstructured data from disparate data sources
  • Develop applications and models supporting various users
  • Provide technical input to program managers and government representatives

Do you have what it takes?

Required qualifications:

  • Bachelor’s Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field
  • 4+ years of experience as a Data Scientist including experience in statistical modeling and machine learning based on the analysis of large sets of data
  • Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.)
  • Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask)
  • Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB)
  • Knowledge of data modeling principles
  • Experience in knowledge extraction and insights from data in various forms, both structured and unstructured
  • Cloud development experience, preferably in AWS
  • Excellent verbal and written communication skills
  • US Citizen with current TOP SECRET/SCI Eligible Clearance or ability to obtain a TOP SECRET/SCI clearance
  • Successful completion of background check

Desired qualifications:

  • Master’s Degree or higher in Computer Science, Data Science, or Information Systems
  • Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud
  • Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn)
  • Experience using Git for version control and issue tracking
  • Experience with artifact repositories (e.g. Artifactory)
  • Experience with CI/CD pipelines (e.g. Jenkins, Gitlab pipelines)
  • Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras, scikit-learn)
  • Experience leading teams and projects
  • Programming experience in C++ and Java
  • Experience with Linux systems
Qualifications:

Required qualifications:

  • Bachelor’s Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field
  • 4+ years of experience as a Data Scientist including experience in statistical modeling and machine learning based on the analysis of large sets of data
  • Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.)
  • Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask)
  • Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB)
  • Knowledge of data modeling principles
  • Experience in knowledge extraction and insights from data in various forms, both structured and unstructured
  • Cloud development experience, preferably in AWS
  • Excellent verbal and written communication skills
  • US Citizen with current TOP SECRET/SCI Eligible Clearance or ability to obtain a TOP SECRET/SCI clearance
  • Successful completion of background check

Desired qualifications:

  • Master’s Degree or higher in Computer Science, Data Science, or Information Systems
  • Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud
  • Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn)
  • Experience using Git for version control and issue tracking
  • Experience with artifact repositories (e.g. Artifactory)
  • Experience with CI/CD pipelines (e.g. Jenkins, Gitlab pipelines)
  • Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras, scikit-learn)
  • Experience leading teams and projects
  • Programming experience in C++ and Java
  • Experience with Linux systems
Education:UNAVAILABLEEmployment Type: FULL_TIME

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