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Google Data Science Jobs in Michigan (NOW HIRING)

Ford Motor

Data Scientist - Conversational AI

Dearborn, MI · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Dive directly into Google Cloud Platform (GCP) to cleanly join and structure mobile, customer ... Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Ph.D. in a quantitative field such as Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field * 3+ experience GCP (Google Cloud Platform): Vertex AI, Big Query ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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 ...

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Google Cloud Platform Data Engineer Location: 4 days/week onsite in SE MI Duration: Long-Term ... Master's Degree in Computer Science, Data Science, Engineering, Information Systems, or a related ...

Woven Planet

Senior Data Scientist - AD/ADAS

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with a cloud platform such as (AWS, Google Cloud Platform, Azure etc.) * Experience with common data science tools; statistical analysis, mathematical modelling etc. * Experience in ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... 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 ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... 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 ...

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 ...

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Google Data Science information

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 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 are the most commonly searched types of Google Data Science jobs in Michigan?

The most popular types of Google Data Science jobs in Michigan are:

What are popular job titles related to Google Data Science jobs in Michigan?

For Google Data Science jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Michigan look for?

The top searched job categories for Google Data Science jobs in Michigan are:

What cities in Michigan are hiring for Google Data Science jobs?

Cities in Michigan with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientists Modeling

Tech Tammina LLC

Dearborn, MI • On-site

Contractor

Re-posted 3 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