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Google Data Science Jobs in Ohio (NOW HIRING)

CareSource

Data Scientist II

Dayton, OH · On-site

$83K - $132K/yr

Bachelor's Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other ... Experience with cloud services (such as Azure, AWS or Google Cloud Platform) and modern data stack ...

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 ...

CareSource

Applied AI Scientist III

Dayton, OH · On-site

This position requires a highly skilled AI expert capable of delivering complex data science ... One (1) year of experience with cloud services (such as Azure, AWS or Google Cloud Platform) and ...

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 ...

Stars Arena

$85 - $120/hr

Data Scientist (m/w/d) Experimentation Location: Germany, United Kingdom Posted 9 months ago Tech ... Google Cloud Platform * Python * Testing * Tests * Tools Konfidenzintervalle und ...

Northrop Grumman Corporation

$142K - $213K/yr

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing ... Experience mentoring and leading peers on data science projects. * Applied statistics experience ...

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$22.4K

$106K

$183.3K

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 II

CareSource

Dayton, OH • On-site

$83K - $132K/yr

Other

Re-posted 2 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

204th of 308 rated insurance

Job description

Job Summary:
The Data Scientist II is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the organization (operational, clinical, financial, marketing, etc.).
Essential Functions:
  • Create, maintain, and communicate an analytical plan for each project
  • Mine and analyze large structured and unstructured datasets
  • Employ wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc.
  • Develop visualizations that demonstrate the efficacy of developed algorithms
  • Provide statistical validation and analysis of outcomes associated with clinical programs and interventions
  • Collaborate with other teams to integrate with existing solutions
  • Communicate results and ideas to key stakeholders
  • Prepare code for operationalization of end-to-end model pipeline and deliverable for business consumption
  • Perform any other job duties as requested

Education and Experience:
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field or equivalent years of relevant work experience is required
  • Minimum of three (3) years of experience in data analysis and/or analytic programming required
  • Experience with cloud services (such as Azure, AWS or Google Cloud Platform) and modern data stack (such as Databricks or Snowflakes) is preferred
  • Healthcare experience is preferred

Competencies, Knowledge, and Skills:
  • Proficient in SQL and at least one of the following programming languages: Python or R
  • Preferred beginner level of knowledge of developing reports or dashboards in Power BI or other business intelligence applications
  • Ability to perform basic statistical analyses and techniques including A/B testing, general significance testing, and sampling methodologies
  • Working knowledge of predictive modeling and machine learning algorithms such as generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction and natural language processing
  • Proficient in feature engineering techniques and exploratory data analysis
  • Familiarity with optimization techniques and artificial intelligence methods
  • Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies
  • Proficient with MS office (Excel, PowerPoint, Word, Access)
  • Demonstrated critical thinking, verbal communication, presentation and written communication skills
  • Ability to work independently and within a cross-functional team environment

Licensure and Certification:
  • None

Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time

Compensation Range:
$83,000.00 - $132,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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