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Google Internship 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 ...

Flexjet

Senior Data Scientist

Cleveland, OH

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

Deloitte

Agentic AI, AI & Data Science Engineer

Columbus, OH · On-site

$110K - $132K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud ...

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

... 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

Columbus, OH

$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

Toledo, OH

$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

$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 ...

JP Morgan Chase

Data Scientist Senior Associate

Columbus, OH · On-site

$57K - $57K/yr

Bachelor's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics ... Experience with web analytics tools (e.g., Google Analytics, Adobe/Omniture Insight/Visual Sciences ...

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Google Internship Data Science information

What are the key skills and qualifications needed to thrive as a Google Data Science Intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What types of projects do Data Science interns typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What is a Google Internship in Data Science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

What are popular job titles related to Google Internship Data Science jobs in Ohio? For Google Internship Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Google Internship Data Science jobs in Ohio look for? The top searched job categories for Google Internship Data Science jobs in Ohio are:
What cities in Ohio are hiring for Google Internship Data Science jobs? Cities in Ohio with the most Google Internship Data Science job openings:
Google Internship Data Science jobs near you

Data Science - Senior

GRVTY

Dayton, OH

Other

Re-posted 19 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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