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Environmental Data Scientist Jobs in Ohio (NOW HIRING)

The Data Scientist will design, prototype, and implement a data management and application ... a cloud environment * Perform data analytics of simulated and real-world data * Integrate ...

The Data Scientist will design, prototype, and implement a data management and application ... a cloud environment * Perform data analytics of simulated and real-world data * Integrate ...

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 ... Demonstrated ability to develop and test code within cloud environments. * Communication: Strong ...

DATA SCIENTIST Location: Columbus, OH (Onsite) * Data Science - 7+ yrs * SAS - 5+ * Python -5+ * ... environment. * Experience using AI Tools; preferably Jupyter with Python, Data Robot, and SAS.

Ability to work both independently and in a team environment * Strong technical writing and ... Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro ...

Ability to work both independently and in a team environment * Strong technical writing and ... Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro ...

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 ... their data-rich environments to find the pieces of their information puzzle. You'll develop ...

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Demonstrated ability to develop and test code within cloud environments. * Communication: Strong ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

ComResource is looking for a Data Scientist. Responsibilities: * Develop and validate predictive ... Deploy models into production environments adhering to best practices in DevOps, including ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

Required Qualifications * 8+ years of experience in data science, with a strong portfolio of impactful, end-to-end solutions in production environments. * Expertise in Python and machine learning ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

... cloud environments • Working with structured and unstructured data • Monitoring model ... Required : • 3-5 years of professional data science or machine learning experience • Strong ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments. * Exposure to ...

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 ... environments to find the pieces of their information puzzle. You'll guide teammates and lead the ...

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Showing results 1-20

Environmental Data Scientist information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do environmental data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for environmental 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 an environmental data scientist?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

What does an environmental data scientist do?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What are the key skills and qualifications needed to thrive as an environmental data scientist?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

What are the most commonly searched types of Environmental Data Scientist jobs in Ohio?

The most popular types of Environmental Data Scientist jobs in Ohio are:

What job categories do people searching Environmental Data Scientist jobs in Ohio look for?

The top searched job categories for Environmental Data Scientist jobs in Ohio are:

What cities in Ohio are hiring for Environmental Data Scientist jobs?

Cities in Ohio with the most Environmental Data Scientist job openings:

Infographic showing various Environmental Data Scientist job openings in Ohio as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Scientist

VTG

Beavercreek, OH • On-site

Full-time

Posted 28 days ago


Key responsibilities

  • Design, prototype, and implement a data management and application development pipeline in support of national defense data science and data architecture tasks.

  • Gather, organize, and analyze data, including conducting data analytics and developing data analytic and AI/ML based applications.

  • Work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype solutions.


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