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Google Data Science Jobs in Michigan (NOW HIRING)

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 ...

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 ...

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 ...

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

Marketing Data Domain Lead

Novi, MI · On-site

$100 - $125/hr

... 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 ...

... 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 ...

Sr Software Engineer

Southfield, MI

$112K - $148K/yr

... Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL ...

Sr Software Engineer

Southfield, MI · On-site

$112K - $148K/yr

... Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL ...

Sr Software Engineer

Southfield, MI · On-site

$112K - $148K/yr

... Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL ...

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 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:

Infographic showing various Google Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Marketing Data Domain Lead

Novi, MI • On-site

Learning Care Group
Education • 10K+ employees

$81K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Learning Care Group rating

5.2

Company rating: 5.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

13th of 19 rated daycare providers


Job description


The Marketing Data Domain Lead owns Learning Care's Marketing Data Domain end-to-end, serving as the primary owner of marketing data platforms, integrations, governance, and data products across Microsoft Fabric, Google BigQuery, and related marketing technologies. This role combines marketing domain knowledge with data engineering expertise to ensure marketing data is trusted, scalable, and accessible for reporting, customer acquisition measurement, enrollment attribution, and customer journey analytics. The role partners closely with Marketing, Analytics, Business Intelligence, Data Platform, Data Science, and external vendors to deliver high-quality data solutions that support business objectives. This is a senior individual contributor role with broad ownership and influence across the marketing data ecosystem.
Key Responsibilities:
  • Own Learning Care's Marketing Data Domain end-to-end, serving as the primary partner for Marketing stakeholders and aligning business priorities, governance standards, and technology capabilities.
  • Design, build, and support marketing data pipelines, integrations, and data models across Microsoft Fabric, Google BigQuery, and related platforms.
  • Own the operational health and continuous improvement of Learning Care's marketing data platforms, integrations, and data products.
  • Own marketing data products, certified datasets, and semantic models that support trusted analytics and self-service reporting for Marketing and BI teams.
  • Establish and maintain governance, stewardship, metadata, and lineage standards for marketing data, and implement data quality monitoring, validation, and remediation processes.
  • Lead resolution of recurring data quality and integration issues and support enterprise data governance initiatives.
  • Partner across business, technical, and vendor teams to onboard new data sources, translate business requirements into scalable technical capabilities, and promote adoption of governed data products and self-service analytics.
  • Other duties as assigned.

Minimum Qualifications:
  • A bachelor's degree in data engineering, computer science, information systems, business analytics, or a related field, or equivalent experience, is required.
  • 7+ years of experience in data engineering, analytics engineering, business intelligence, marketing analytics, or a related discipline is required, including marketing domain experience supporting customer acquisition, lead generation, enrollment attribution, reporting, or customer journey analytics.
  • No specific license or certification is required for this role.

Preferred Qualifications:
  • Experience with Microsoft Purview or similar data governance and cataloging tools is preferred.
  • Experience with Azure DevOps, CI/CD, or modern data delivery practices is preferred.
  • Experience with data observability, monitoring, and operational support frameworks is preferred.
  • Relevant Microsoft, Google Cloud, or other data platform certifications are preferred.

Knowledge, Skills and Abilities:
  • Hands-on expertise with Google BigQuery, Microsoft Fabric, SQL, data modeling, and enterprise data pipelines.
  • Experience developing and managing semantic models, certified datasets, and self-service analytics solutions.
  • Strong stakeholder partnership, communication, and influencing skills across business, technical, and vendor teams.
  • Excellent customer service skills with both internal and external customers.
  • Capable of working with frequent interruptions and changing priorities.
  • Effective communication skills, written, verbal, and interpersonal.
  • Proficient time management, organizational skills, and ability to meet established deadlines.

Compensation and Benefits:
  • Compensation based on position, education and experience. Bi-weekly paid.
  • Base salary range: $118-130k.
  • This position is eligible for our Support Central bonus program which is based on annual achievement of company performance.

Health and Wellness Benefits:
  • Employees are eligible for a variety of health and welfare benefits based on their Full-time or Part-time status on their date of hire, which include medical, dental, vision, healthcare & dependent care flexible spending accounts (FSAs), life insurance, disability, accident, critical illness, hospital indemnity, pre-paid legal, pet insurance and identity theft protection.
  • Employees are eligible to participate in our 401(k) retirement plan after 30 days of employment. Participating employees are also eligible to receive a company provided match on their elective deferrals once they reach 1 year of employment with the company.

Employee perks/discounts:
  • Education assistance including tuition reimbursement
  • Childcare discount available to all employees
  • Corporate partner Discounts
  • This position is eligible for paid time off. All Corporate employees are enrolled in our Flexible Paid Time Off (PTO) plan. This plan allows for flexibility and discretion between employees and managers in taking time off - with no set accrual for vacation or sick time. Employees can use Flexible PTO for any reason and is compliant with the Colorado Healthy Families Work Act.
  • Applications accepted through 8/31/2026.

What Learning Care Group employees say

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About Learning Care Group

Sourced by ZipRecruiter

Learning Care Group, Inc. is the second-largest for-profit child care provider in North America and a leader in early education. Our programs are designed for children aged 6 weeks to 12 years. Across our eight unique brands, we're committed to creating state-of-the-art facilities with the latest technology and expert-driven curricula created by our own Education team.

Industry

Education

Company size

10,000+ Employees

Headquarters location

Novi, MI, US

Year founded

1967

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