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Google Data Science Jobs in Michigan (NOW HIRING)

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ...

... Science in an appropriate field of study * Experience with Google Cloud Platform (GCP) and ... In sprints, Data Scientists are responsible for: * Accessing and analyzing data to develop ...

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

... Google BigQuery, and related marketing technologies. This role combines marketing domain knowledge ... A bachelor's degree in data engineering, computer science, information systems, business analytics ...

New

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

... Google BigQuery, and related marketing technologies. This role combines marketing domain knowledge ... A bachelor's degree in data engineering, computer science, information systems, business analytics ...

New

Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform)

New

Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform)

New

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Collaborates with data scientists, analysts, and business stakeholders to understand data ... Integrates Databricks with cloud platforms (Azure, AWS, or Google Cloud Platform) and other ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ...

Showing results 41-60

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 cities in Michigan are hiring for Google Data Science jobs?

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

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 Architect Specialist

FastTek

Dearborn, MI

$58.50 - $75.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Data Architect Specialist #1058198
Position Description:
We are seeking a Data Product Manager to define, develop, and manage data products that enable business insights, operational efficiency, and data-driven decision-making. The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver scalable, high-quality data solutions aligned with organizational goals.
Key Responsibilities:
  • Define and own the vision, strategy, roadmap, and lifecycle of data products.
  • Partner with business stakeholders to understand data needs and translate them into product requirements.
  • Collaborate with data engineers, architects, analysts, and data scientists to design and deliver data products and platforms.
  • Prioritize features, enhancements, and technical investments based on business value and customer impact.
  • Establish and track key performance indicators (KPIs) for data product adoption, quality, and business outcomes.
  • Drive data governance, metadata management, data quality, and compliance initiatives
  • Develop user stories, acceptance criteria, and product backlogs.
  • Lead Agile ceremonies and coordinate cross-functional teams to ensure timely delivery.
  • Gather feedback from users and stakeholders to continuously improve data products.
  • Communicate product strategy, progress, and outcomes to leadership and stakeholders.
  • Ensure data products support scalability, security, reliability, and regulatory requirements.

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field.
  • 5+ years of Product Management, Data Management, Business Intelligence, Analytics, or related experience.
  • Strong understanding of data warehousing, data modeling, ETL/ELT processes, and cloud data platforms.
  • Experience working with Agile methodologies and product management frameworks.
  • Ability to translate complex technical concepts into business value.
  • Strong stakeholder management, communication, and leadership skills.
  • Experience defining KPIs, product metrics, and business cases.

Preferred Qualifications:
  • Master's degree in Business, Data Science, Analytics, or a related field.
  • Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google.
  • Familiarity with SQL, Python, data visualization tools, and modern data architectures.
  • Experience with data governance, master data management, and data catalog solutions.
  • Experience leading enterprise-scale data transformation initiatives.

Technical Skills:
  • Data Product Management
  • Data Warehousing & Data Lakes
  • Data Modeling * SQL & Analytics
  • Data Governance & Quality
  • Cloud Data Platforms
  • Agile/Scrum
  • KPI & Metrics Development
  • API and Data Services Management
  • Stakeholder Management Success Metrics
  • Data product adoption and user satisfaction
  • Data quality and reliability improvements
  • Reduction in data delivery lead times
  • Business value generated through analytics and insights
  • Stakeholder satisfaction and engagement
  • Achievement of roadmap milestones and product objectives

Typical Data Products:
  • Enterprise data platforms
  • Customer 360 solutions
  • Product analytics datasets
  • Operational dashboards and reporting systems
  • Machine learning feature stores
  • Data APIs and self-service analytics platforms

This description can be tailored further for specific industries such as automotive, healthcare, finance, retail, or manufacturing. Given your background in product lifecycle management and 3DX initiatives, I can also create a Data Product Manager job description focused on automotive digital engineering, PLM, and software-defined vehicle programs.
Skills Required:
  • Data Management

Skills Preferred:
  • Product Management

Experience Required:
  • Specialist Exp.: 10+ yrs in IT
  • 4+ yrs in concentration

Education Required:
  • Bachelor's Degree

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.