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Google Data Science Jobs in Ohio (NOW HIRING)

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 ...

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 ...

My3Tech Inc

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

We are seeking a skilled Data Engineer to join our Data Science team. The ideal candidate will be ... Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. * RAG ...

AceStack LLC

Data Architect

Cleveland, OH · On-site

$61.75 - $79.50/hr

... science needs. You will work closely with stakeholders to define requirements and ensure data ... Experience with AWS / Azure/ Google Cloud platforms. • Communication: Excellent interpersonal ...

New

Navtech, Inc.

GCP Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

... Science Approach & ecosystem on GCP • Certifications o Minimum: Google Professional Data Engineer, Google Professional Cloud Architect o Preferred: Google Big Data Specialty Certification • 15 ...

Cintas

IT Data Engineering Lead

Mason, OH · On-site

... Google Cloud platform to analyze data, build data models and generate reports/visualizations • design the flow for data scientists to build the views for ML use cases and for Data Analysts to build ...

JConnect Infotech

Data Architect

Cleveland, OH · On-site

$61.75 - $79.50/hr

... science needs. You will work closely with stakeholders to define requirements and ensure data ... Experience with AWS / Azure/ Google Cloud platforms. • Communication: Excellent interpersonal ...

Cintas

IT Data Engineering Lead

Mason, OH · Hybrid

... Google Cloud platform to analyze data, build data models and generate reports/visualizations; design the flow for data scientists to build the views for ML use cases and for Data Analysts to build ...

Cintas

IT Data Engineering Lead

Mason, OH · On-site

... Google Cloud platform to analyze data, build data models and generate reports/visualizations; design the flow for data scientists to build the views for ML use cases and for Data Analysts to build ...

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See Ohio salary details

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$106K

$183.3K

How much do google data science jobs pay per year?

As of Jun 26, 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.

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

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.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

What is a Google Data Science job?

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 is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
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 June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,977 per year, or $51 per hour.

Data Science - Senior

GRVTY

Dayton, OH

Other

Posted 10 days ago

Job description

***Requires an active TS/SCI Security Clearance with the ability to obtain a CI Poly****

What You'll Be Owning: 

  • Develop computer vision prototypes to detect and predict interactions between objects in multi-modal imagery.
  • Implement unsupervised and supervised learning methods to support mission-specific analytic workflows.
  • Build and manage datasets for training and evaluation in collaboration with subject matter experts (SMEs).
  • Integrate prototypes into NASIC and broader DoD/IC IT architectures. Design and maintain data structures ("memory systems") that store learned patterns, support dynamic updates, and provide auditability.
  • Follow secure software development practices, leveraging Python (preferred, v3.11+) and/or C++ in government repositories.
  • Conduct prototype reviews, code walkthroughs, and demonstrations with NASIC stakeholders.
  • Participate in bi-weekly technical interchange meetings and status updates.

What You Must Have: 

  • At least 10 years of software development experience
  • Active TS/SCI security clearance
  • Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience.
  • Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and familiarity with C++.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for computer vision applications.
  • Background in object detection, scene understanding, and spatial reasoning.
  • Hands-on experience with unsupervised learning methods and dataset development.
  • Ability to work in secure environments and follow strict code review and documentation standards.

What Would Be Nice to Have

  • Knowledge of geospatial intelligence (GEOINT) workflows and imagery modalities.
  • Familiarity with Air Force / DoD software security constraints and classified development practices. 
  • Experience designing dynamic and auditable data structures for knowledge persistence.
  • Ability to collaborate closely with government technical managers (GTMs) and SMEs in a fast-paced prototyping environment.

This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.

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