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Data Analyst Data Science Jobs in Ohio (NOW HIRING)

Data Scientist

Beavercreek, OH ยท On-site

$120 - $150/hr

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 ...

Data Scientist

Dayton, OH ยท On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

Data Scientist

Dayton, OH ยท On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

Data Scientist

Dayton, OH ยท On-site +1

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

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 ...

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 ...

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... Acquire and analyze data and metrics across the enterprise to determine how they can be ...

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining ... Other relevant work experience may be substituted Qualifications BS in Statistics, Computer Science ...

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... Acquire and analyze data and metrics across the enterprise to determine how they can be ...

Data Scientist

Cincinnati, OH ยท On-site

$85K - $122K/yr

... Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. Create and edit visual content, including charts, graphs, and dashboards, to ...

... Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess ... Data Handling & Cloud: Experience with large datasets anddeveloping incloud computing platforms ...

Data Analyst

Akron, OH ยท On-site

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or ...

Data Analyst

Akron, OH ยท On-site

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or ...

Data Analyst

Akron, OH

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or ...

Showing results 21-40

Data Analyst Data Science information

See Ohio salary details

$13

$36

$62

How much do data analyst data science jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data analyst data science in Ohio is $36.18, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $43.85 per hour, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

What cities in Ohio are hiring for Data Analyst Data Science jobs?

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

Infographic showing various Data Analyst Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,263 per year, or $36.2 per hour.

Data Scientist

Vosper Thornycroft Group

Beavercreek, OH โ€ข On-site

$120 - $150/hr

Other

Posted 4 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 thirdโ€‘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 realโ€‘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:
  • Bachelorโ€™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:
  • Masterโ€™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
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