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Director Google Data Science Jobs (NOW HIRING)

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

Total Wine & More is seeking a Director of Data Science to join our Technology team in our Bethesda, MD office. This role will lead multiple data science team members with a significant portfolio of ...

May Mobility

Director, Data Science

The Director, Data Science will lead the team responsible for turning the data generated by our fleet, simulation environment, and ML systems into the insights, evaluations, and decisions that make ...

Chewy

Director, Data Science

Bellevue, WA · On-site

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy-fully accountable for the science strategy and production implementation behind Chewy's onsite ...

Chewy

Director, Data Science

Bellevue, WA

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy--fully accountable for the science strategy and production implementation behind Chewy's onsite ...

Connexzia

Data Analyst

Scottsdale, AZ

Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related ... Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.

Adswerve, Inc

Sr. Director, Google Practice Lead

$150K - $200K/yr

We're an award-winning data, media and tech consultancy and a leading Google and Adobe partner that ... Job Title: Sr. Director, Google Practice Lead Compensation: $150,000 to $200,000 Location: Arizona ...

SageSure

Director, Data Science

Jersey City, NJ · On-site

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Director, Data Science. In this role, you will lead a team of data scientists in solving some of the most complex and high ...

PURE Insurance

Director, Data Science

PURE is seeking a Director, Data Science to help professionalize, scale, and lead our data science practice as a true engineering discipline. This is a foundational role at a pivotal moment: our VP, ...

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel - the quality, currency, and representativeness of the signal at the heart of our data. Your team owns ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

The Director, Data Science will lead the team responsible for turning data generated by the fleet into insights that enhance the safety and efficiency of their autonomous services while collaborating ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

The Director, Data Science will lead the team responsible for turning the data generated by the fleet, simulation environment, and ML systems into insights that enhance the efficiency and safety of ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

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Director Google Data Science information

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$54K

$154.9K

$244K

How much do director google data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director google data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

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
Infographic showing various Director Google Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

Data Scientist, Contextual Search

Google

Mountain View, CA • On-site

Full-time

Posted 7 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree.

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job
The Contextual Search Data Science team is at the forefront of shaping the future of search. Our mission is to deeply understand and enhance user experiences by leveraging contextual data. We drive product strategy and innovation for some of Google's most critical Search surfaces, ensuring our AI-first features are intuitive, effective, and power new ways for users to find exactly what they need in the moment.
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Delve deep into user behavior patterns, identifying opportunities for growth, and understanding the end-to-end user journey across our contextual search surfaces.
  • Design, implement, and analyze A/B tests and other experiments to measure the impact of new contextual features and product changes, ensuring data-driven decisions.
  • Build and refine the tools, pipelines, and best practices our team uses, while staying at the forefront of AI techniques to enhance our analytical capabilities.
  • Guide complex, ambiguous projects from inception to completion, influence cross-functional roadmaps alongside Engineering and Product partners, and mentor junior data scientists on the team.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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