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Google Data Science Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... data science (e.g., Python, R). Skills Preferred: • Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP). • Experience with specific machine learning ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

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

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site +1

$113K - $136K/yr

... or Google Cloud Platform for data platforms and scalable compute * 4+ years of experience ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

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 ...

Ford Motor Company

Data Scientist

Dearborn, MI

Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer (Dearborn, MI) For quick apply ... Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to ...

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 ...

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See Michigan salary details

$21.5K

$101.8K

$176.1K

How much do google data science jobs pay per year?

As of Jun 11, 2026, the average yearly pay for google data science in Michigan is $101,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,984.00 and $127,774.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

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.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

What is a Google Data Science job?

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 is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
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
Data Science and Machine Learning Specialist

Data Science and Machine Learning Specialist

FastTek

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Data Science and Machine Learning Specialist #1050763
Job Description:
  • The Global Data, Insight & Analytics (GDIA) organization at Company is seeking a Data Scientist to develop advanced analytics products that drive vehicle content strategy decisions.
  • This role sits within the Marketing Analytics team and focuses on applying machine learning, artificial intelligence, statistical modeling, and mathematical optimization to high-impact business problems.
  • The Data Scientist will design, develop, and deploy analytical solutions that support strategic decision-making across North American vehicle programs.
  • This role requires strong quantitative expertise, advanced Python skills, and experience working in cloud-based data environments, particularly Google Cloud Platform (GCP).

Key Responsibilities:
  • Develop and implement machine learning, statistical, and optimization models to support vehicle content strategy.
  • Write high-quality, production-ready Python code for modeling, experimentation, and data analysis.
  • Query, manage, and analyze large-scale datasets using GCP tools such as BigQuery.
  • Partner with Software Engineers to deploy analytics models into production environments aligned with enterprise data architecture and MLOps standards.
  • Conduct model validation, performance monitoring, and sensitivity analysis to ensure reliability and business relevance.
  • Translate complex analytical outputs into clear, actionable insights for Marketing and product stakeholders.
  • Research and apply emerging AI, econometrics, and optimization methodologies to enhance decision systems.

Skills Required:
Machine Learning, Data Science.
  • 2+ years of experience in advanced analytics, including machine learning, mathematical optimization, statistical modeling, econometrics, or AI.
  • 1+ year of experience working with large datasets in cloud-based environments (e.g., GCP).
  • Strong proficiency in Python for analytical workflows

Skills Preferred:
  • This role contributes to high-impact analytical engines that influence product and marketing strategy decisions across North American vehicle programs.
  • The position requires a balance of quantitative rigor, practical implementation, and forward-looking application of artificial intelligence.

Experience Required:
  • Specialist Exp: 5+ experience in relevant field

Experience Preferred:
  • PhD in a quantitative discipline.
  • Experience deploying machine learning or advanced analytics models into production systems.
  • Familiarity with AI-assisted analytics approaches (e.g., scenario exploration, search space optimization).
  • Experience in Agile or product-driven environments.
  • Hands-on experience with Google Cloud Platform.
  • Strong interpersonal and communication skills with the ability to simplify complex topics for leadership audiences.

Education Required:
  • Master's Degree

Education Preferred:
  • Master's degree or higher in Data Science, Statistics, Economics, Engineering, Mathematics, Operations Research, or a related quantitative field

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.