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Full Time Data Scientist Jobs in Ohio (NOW HIRING)

The Data Scientist will design, prototype, and implement a data management and application ... UNAVAILABLEEmployment Type: FULL_TIME

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 ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Dayton, OH · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Beavercreek, OH · On-site

$77K - $176K/yr

As a Data Scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Dayton, OH · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

A00090 Wholesale TA CSCLX Position : Full-Time Total Rewards: Benefits/Incentive Information If you ... GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible ...

A00090 Wholesale TA CSCLX Position : Full-Time Total Rewards: Benefits/Incentive Information If you ... GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible ...

A00090 Wholesale TA CSCLX Position : Full-Time Total Rewards: Benefits/Incentive Information If you ... GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible ...

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... You must be work authorized in the United States on a full time basis without the need for any ...

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... You must be work authorized in the United States on a full time basis without the need for any ...

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 ...

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Showing results 1-20

Full Time Data Scientist information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do full time data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for full time 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 is a full time data scientist?

Full time data scientists are professionals who use statistical, analytical, and programming skills to extract insights and knowledge from data. They typically work with large datasets to identify trends, build predictive models, and help organizations make data-driven decisions. As full-time employees, they collaborate with other teams, maintain data pipelines, and continuously improve algorithms to solve complex business problems. Their role can span various industries, including technology, finance, healthcare, and more.

What are the key skills and qualifications needed to thrive as a full time data scientist?

To thrive as a Full Time Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Familiarity with machine learning libraries (such as scikit-learn or TensorFlow), data visualization tools, and experience working with large datasets are important, and certifications like AWS Certified Machine Learning can be beneficial. Problem-solving, communication, and collaboration skills help data scientists translate complex findings into actionable insights for diverse teams. These skills are essential for extracting value from data, driving business decisions, and ensuring successful project outcomes.

What are some common challenges full time data scientists face when working on cross-functional teams?

Full Time Data Scientists often collaborate with stakeholders from engineering, product, and business teams. A common challenge is effectively communicating complex technical concepts in a way that non-technical colleagues can understand, ensuring alignment on project goals. Additionally, balancing competing priorities—such as model accuracy versus production timelines—and managing expectations regarding data limitations can be demanding. Successful data scientists proactively foster strong relationships across teams and clarify project requirements early to overcome these challenges.

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 Full Time Data Scientist jobs in Ohio?

For Full Time Data Scientist jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Full Time Data Scientist jobs?

Cities in Ohio with the most Full Time Data Scientist job openings:

Full-time

Posted 21 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