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Google Internship 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 ...

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 ...

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 · 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 ...

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Google Internship Data Science information

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 types of projects does a data science intern 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 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 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 & Analytics Specialist

Apogee Engineering, LLC

Dayton, OH • Hybrid

Full-time

Posted 12 days ago

Job description

Apogee Engineering has a exciting position for a Data Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic workflows leveraging NASIC data within cloud and enterprise environments. Works under the guidance of senior engineers and analysts to enable IA/AI/ML-enabled mission workflows.

****Contingent Upon Contract Award****


  • Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
  • Support the preparation and transformation of data for IA/AI/ML and advanced analytics.
  • Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
  • Document analytic processes, data flows, and results in support of technical reports and briefings.
  • Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.

Minimum Experience:

Citizenship: Must be a US citizen 
Clearance: Ability to obtain and maintain a TS/SCI security clearance.

Education / Years of Experience:
Additional Experience:

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field, with at least two (2) years’ related experience (may include applied research, internships, or professional work).
  • Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar).
  • Ability to interpret quantitative results and communicate them clearly in written and verbal form.
  • Familiarity with basic data management and data quality concepts.

Preferred Qualifications:

  • Experience supporting IA/AI/ML model development, evaluation, or integration.
  • Familiarity with cloud-based data and analytics platforms.
  • Experience working with intelligence or operational datasets (simulated or real).

Additional Information
Location: Wright Patterson AFB Dayton, OH
On-site/Hybrid/Remote: On-site
Travel: Occasional


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