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Director Google Data Science Jobs in Michigan (NOW HIRING)

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Work with business and technical teams to support the development and integration of data science ... Reports to: IT Director * Typical Schedule: Monday-Friday, 7:30 a.m.-4:30 p.m. * Location: While ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

$90 - $130/hr

Work with business and technical teams to support the development and integration of data science ... A Few More Details Reports to: IT Director Typical Schedule: Monday-Friday, 7:30 a.m.-4:30 p.m.

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Work with business and technical teams to support the development and integration of data science ... Reports to: IT Director * Typical Schedule: Monday-Friday, 7:30 a.m.-4:30 p.m. * Location: While ...

Randstad Digital

Technical Project Manager

Ann Arbor, MI · On-site

$45 - $50/hr

... Google Cloud Platform). AI/ML Knowledge Solid understanding of AI/ML algorithms, data science ... direct authority. Stakeholder Management and collaborate with multiple functional groups and ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

... Google Cloud Platform (GCP). The ideal candidate will possess a strong understanding of data ... Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Experience:

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Director Google Data Science information

What does a director Google Data Science do?

A Director of Google Data Science leads teams of data scientists, analysts, and engineers to drive data-informed decision-making across the company. They are responsible for setting the strategic vision for data initiatives, overseeing the development of machine learning models and analytics solutions, and collaborating with cross-functional teams to solve complex business problems. This role also involves mentoring staff, managing large-scale projects, and ensuring that data practices align with Google's ethical standards and business goals.

What are the key skills and qualifications needed to thrive as a director Google Data Science?

To thrive as a Director of Google Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant industry experience. Mastery of programming languages like Python or R, familiarity with big data platforms (such as BigQuery), and experience with cloud computing tools are essential, along with strong project management skills. Outstanding leadership, communication, and strategic vision are crucial soft skills for guiding teams and collaborating with stakeholders across the organization. These skills and qualities are vital for driving impactful data-driven decisions, fostering innovation, and successfully leading large, diverse data science teams.

How does a director Google Data Science typically collaborate with cross-functional teams to drive data-driven decision-making?

As a Director of Google Data Science, you will frequently lead and coordinate with product managers, engineers, designers, and business leaders to translate business goals into actionable data projects. This collaboration involves setting data strategy, defining key metrics, and ensuring that insights are integrated into product roadmaps and business decisions. You’ll also mentor data scientists, facilitate communication between technical and non-technical stakeholders, and help foster a culture of experimentation and innovation. Ensuring alignment across teams and managing priorities is a common challenge, but it’s crucial for maximizing the impact of data science on organizational objectives.

What is the difference between Director Google Data Science vs Data Science Manager?

AspectDirector Google Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting visionTeam management, project execution, day-to-day operations
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data scienceBachelor's or Master's, strong technical and leadership skills
Work EnvironmentExecutive level, cross-functional collaboration, strategic planningTeam-focused, project management, technical oversight
Industry UsageCommon in large tech companies, corporate R&D divisionsWidely used across tech, finance, healthcare sectors

The main difference between a Director Google Data Science and a Data Science Manager lies in scope and focus. The Director typically handles strategic planning and oversees multiple teams, while the Manager focuses on project execution and team management. Both roles require strong technical backgrounds, but the Director's role is more executive and vision-oriented.

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Director Google Data Science jobs near you

Senior Data Scientist - Media Decision Science

Domino's

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Key responsibilities

  • Serve as Domino's analytical leader for paid search, local media, and emerging media channels, identifying opportunities for media investment and improving media effectiveness.

  • Define best practices for local media investment and translate insights into recommendations to optimize media planning and outcomes.

  • Design and evaluate experiments and quasi-experimental analyses to measure the incremental impact of media decisions.

Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,943 frontline employees who took The Breakroom Quiz

20th of 24 rated food delivery companies

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
The Senior Data Scientist - Media Decision Science serves as Domino's analytical leader for paid search, local media, and emerging media opportunities. This role helps improve media effectiveness by identifying where Domino's should invest, test, optimize, or evolve its strategy as customer behavior, search, and media platforms continue to change.
This position partners closely with internal marketing teams, agencies, Google, and media platforms to develop data-driven recommendations, establish local media best practices, and evaluate emerging capabilities. Success requires combining analytical rigor, strategic thinking, and the ability to turn complex information into clear recommendations that improve media decisions at Domino's.
Responsibilities & Duties
Search, Local, & Emerging Media Strategy
  • Serve as Domino's analytical leader for paid search and emerging media channels, identifying opportunities for media investment and improving existing media effectiveness and business performance.
  • Define best practices for local media investment, including where, when, and how local media should be deployed to maximize impact across markets.
  • Partner with Google, agencies, and internal stakeholders to understand changes in consumer behavior, search, and AI-powered discovery experiences, translating insights into recommendations on where Domino's should test, invest, and innovate.
  • Translate media, marketplace, competitive, and performance insights into actionable recommendations that improve media planning and outcomes.

Media Intelligence & Decision Support
  • Leverage tools such as iSpot, Pathmatics, and other market intelligence sources to monitor competitive activity, media trends, and emerging opportunities.
  • Translate market, competitive, and performance data into actionable recommendations that improve media planning and optimization decisions.
  • Identify emerging risks, opportunities, and shifts in the media ecosystem and proactively communicate implications to stakeholders.
  • Serve as a thought leader who challenges conventional thinking and helps shape the future of media strategy and decision-making at Domino's.

Test Design & Incrementality Measurement
  • Design and evaluate experiments and quasi-experimental analyses to measure the incremental impact of media decisions.
  • Select appropriate test designs (e.g., geo tests, holdouts, pre/post analyses, matched markets) based on business context, data availability, and risk.
  • Assess test validity, limitations, and confidence levels, clearly communicating implications for decision-making.

Partner & Stakeholder Collaboration
  • Work closely with internal teams and external partners (agencies, media platforms) to align on priorities, measurement approaches, test design, and interpretation of results.
  • Influence leadership decision-making by translating internal and partner analytical findings into clear recommendations on where to invest, test, scale, optimize, or pull back to drive incremental business impact.
  • Maintain strong, productive partner relationships while exercising independent analytical judgment and prioritizing Domino's objectives.
  • Confidently challenge partner recommendations or narratives when data does not support the proposed direction.

Technical Competencies
  • Advanced SQL and Python or R, with experience working in modern analytics platforms (e.g., Databricks or similar) to build analytical datasets, validate data, and support scalable analysis and modeling.
  • Demonstrated experience designing and evaluating tests or measurement approaches to assess incremental impact (e.g., media tests, geo experiments, holdouts, or quasi-experimental analyses).
  • Applied machine learning or predictive analytics experience to support measurement, forecasting, or optimization use cases.
  • Ability to translate analysis into decision-ready outputs using BI and visualization tools (e.g., Power BI or similar).
  • Familiarity applying AI or GenAI tools to enhance analytics and decision support in a responsible, transparent way.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
  • 5+ years of professional experience in data science, analytics, marketing science, or a related analytical role.
  • Experience translating analytical results into clear recommendations that inform business decisions and performance improvement.
  • Strong communication skills with the ability to explain technical concepts and challenge assumptions with both technical and non-technical stakeholders.
  • Background in media analytics and measurement preferred.

Additional Information
Location: Ann Arbor, MI (Candidates need to reside in the area or be willing to relocate)
Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus
All your information will be kept confidential according to EEO guidelines.

What Domino's employees say

Pay

Benefits

Hours and flexibility

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About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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