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Google Data Science Jobs in Ohio (NOW HIRING)

VTG

Data Scientist

Beavercreek, OH

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 ...

GRVTY

Data Science - Senior

Dayton, OH

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ... Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and ...

Vosper Thornycroft Group

Data Scientist

Beavercreek, OH · On-site

$120 - $150/hr

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 ...

VTG

Data Scientist

Beavercreek, OH · On-site

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 ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ... Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

$120 - $180/hr

Bachelor's or master's degree in computer science, Information Technology, Data Science, or a ... Experience with AWS, Azure, or Google Cloud PREFERRED QUALIFICATIONS * Experience developing ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... computer science, Information Technology, Data Science, or a related field, or an equivalent ... or Google Cloud PREFERRED QUALIFICATIONS Experience developing LLM-powered applications in ...

Flexjet LLC

Senior Data Scientist

Cleveland, OH · On-site

$120 - $190/hr

Bachelor\'s or master\'s degree in computer science, Information Technology, Data Science, or a ... Experience with AWS, Azure, or Google Cloud Preferred Qualifications * Experience developing LLM ...

Flexjet

Senior Data Scientist

Cleveland, OH

... computer science, Information Technology, Data Science, or a related field, or an equivalent ... Google Cloud PREFERRED QUALIFICATIONS · Experience developing LLM-powered applications in ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... computer science, Information Technology, Data Science, or a related field, or an equivalent ... Google Cloud PREFERRED QUALIFICATIONS • Experience developing LLM-powered applications in ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

Required : • Bachelor's or master's degree in computer science, Information Technology, Data ... Google Cloud Preferred : • Experience developing LLM-powered applications in enterprise ...

Pwc

AI & GenAI Data Scientist-Director

Toledo, OH · On-site

$155K - $410K/yr

... Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ...

Pwc

AI & GenAI Data Scientist-Director

Cincinnati, OH · On-site

$155K - $410K/yr

... Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ...

Pwc

AI & GenAI Data Scientist-Director

Cleveland, OH · On-site

$155K - $410K/yr

... Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ...

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How much do google data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for google data science in Ohio is $105,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,645.00 and $133,004.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the most commonly searched types of Google Data Science jobs in Ohio?

The most popular types of Google Data Science jobs in Ohio are:

What are popular job titles related to Google Data Science jobs in Ohio?

For Google Data Science jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Ohio look for?

The top searched job categories for Google Data Science jobs in Ohio are:

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

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

Google Data Science jobs near you
Infographic showing various Google 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 $105,977 per year, or $51 per hour.

Data Scientist

VTG

Beavercreek, OH

Full-time

Posted 9 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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