ZipRecruiter

Log In

1

Google Internship Data Science Jobs in Detroit, MI

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

Master's degree or foreign equivalent in Data Science and Business Analytics, Computer Science ... Google Cloud Platform, AWS, Azure), including building data processing pipelines (Spark, Dataflow ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

Familiar with LLM orchestration workflows like Crew.ai, Langraph, Google ADK for quick development ... Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research ...

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

... via Google Cloud Platform to optimize the delivery of value. You will interact with business ... Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ... Google Cloud Platform (BigQuery, Dataflow, AI Platform) ) * Deployment & MLOps: MLflow , Model ...

next page

Showing results 1-20

All JobsGoogle Data Science JobsGoogle Internship Data Science JobsGoogle Internship Data Science Jobs in Detroit, MI

Google Internship Data Science information

See Detroit, MI salary details

$11

$22

$41

How much do google internship data science jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for google internship data science in Detroit, MI is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.28 per hour, depending on experience, location, and employer.

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 Detroit, MI?

For Google Internship Data Science jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Google Internship Data Science jobs in Detroit, MI look for?

The top searched job categories for Google Internship Data Science jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Google Internship Data Science jobs?

Cities near Detroit, MI with the most Google Internship Data Science job openings:

Google Internship Data Science jobs near you

Data Scientists Modeling

Tech Tammina LLC

Dearborn, MI • On-site

Contractor

Re-posted 14 days ago

Job description

Role: Data Scientists Modeling
Location: Dearborn, MI (Hybrid)
Duration: Long term
Rate: Market

 
What You'll Do: 
•    Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. 
•    Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses. 
•    Translate complex business questions and challenges into well-defined data science problems and analytical tasks. 
•    Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). 
•    Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.
•    Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.
•    Iterate on models and approaches based on performance feedback and evolving business requirements. 
•    Stay up to date with the latest advancements in data science, machine learning, and relevant technologies.
 
Skills Required:
•    Demonstrated ability to deal with and process data from real-world sources. 
•    Experience performing Exploratory Data Analysis (EDA). 
•    Experience with model development (statistical modeling, machine learning). 
•    Familiarity with the process of deploying models into production or working alongside teams that do. 
•    Proven ability to translate business questions into data-driven problems.
•    Ability to translate data analysis results and model insights into clear, business-oriented solutions. 
•    Proficiency in at least one major programming language used in data science (e.g., Python, R).
 
Skills Preferred:
•         Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
•         Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
 
Experience Required:
•         Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).
 
Experience Preferred:
•         Experience in Auto Industry