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Data Scientist Jobs in Ohio (NOW HIRING)

VTG

Data Scientist

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.

New

VTG

Data Scientist

Beavercreek, OH · On-site

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.

New

AEP

Data Scientist / Data Scientist Senior

Columbus, OH · On-site

$87 - $128.69/hr

## Data Scientist / Data Scientist SeniorApplylocations: Columbus, OHtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 15, 2026 (14 days left to apply)job requisition id:

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be ...

Booz Allen Hamilton

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

DATA SCIENTIST Location: Columbus, OH (Onsite) * Data Science - 7+ yrs * SAS - 5+ * Python -5+ * SQL * Jupyter, Data Robot preferred * AI tools preferred * BS w/financial svcs or auto industry exp ...

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Radiance is seeking a highly qualified and motivated data scientist to support GEOINT and Multi-INT production and the continued advancement of data analytical processes and techniques at the ...

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Radiance is seeking a highly qualified and motivated data scientist to support GEOINT and Multi-INT production and the continued advancement of data analytical processes and techniques at the ...

Goosehead

Data Scientist

Westlake, OH

We're seeking an experienced Data Scientist who enjoys solving real-world problems with a hyper-focus on impact. Who You Are: You are a curious and experienced Data Scientist who enjoys solving real ...

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on ...

New

ComResource

Data Scientist

Columbus, OH

ComResource is looking for a Data Scientist. Responsibilities: * Develop and validate predictive and prescriptive models using advanced analytical techniques including machine learning, statistical ...

New

FEDRUS GLOBAL LLC

Data Scientist

Cincinnati, OH · On-site

Core Role Summary Seeking a technically strong Data Scientist to advance AI, Generative AI, and causal machine learning capabilities supporting personalization and loyalty initiatives. This role ...

New

Cardinal Health

Data Scientist

Dublin, OH · On-site

$120 - $160/hr

Department OverviewAI & Data Science team builds analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth ...

New

Total Quality Logistics

Data Scientist

Cincinnati, OH · On-site

Total Quality Logistics is seeking a Data Scientist to design, build, and deploy advanced analytics and machine learning solutions that support business decision-making. The role involves owning ...

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All JobsData Scientist JobsData Scientist Jobs in Ohio

Data Scientist information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data scientist 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 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Ohio? The most popular types of Data Scientist jobs in Ohio are:
What are popular job titles related to Data Scientist jobs in Ohio? For Data Scientist jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Ohio look for? The top searched job categories for Data Scientist jobs in Ohio are:
What cities in Ohio are hiring for Data Scientist jobs? Cities in Ohio with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in OH? For Data Scientist jobs in OH, the most frequently searched job titles are:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% 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.

Data Scientist

VTG

Beavercreek, OH

Full-time

Posted yesterday

New

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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