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Director Google Data Science Jobs in California (NOW HIRING)

... in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely ... Data Analyst, Coursera/Google Data Analytics) • Support Board‑level reporting needs in ...

Reporting Data Scientist

Sacramento, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, ...

D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations ... Learn more about benefits at Google. Position reports to the Google San Bruno, CA office & may ...

Reporting Data Scientist

Sacramento, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, ...

Reporting Data Scientist

Sacramento, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, ...

As an expert in the leading edge of AI and data science, you will direct the team on the ... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ...

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe. * Apply your expertise in quantitative ...

Reporting Data Scientist

Sacramento, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Under the general direction of the Director of Project Controls, the Data Scientist supports ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Reporting Data Scientist

Sacramento, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Under the general direction of the Director of Project Controls, the Data Scientist supports ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build ...

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build ...

Manager, Data Science (Marketing)

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You Experience & Education * 8+ years of experience in data science roles with direct impact on ... Experience integrating with marketing APIs (Google, Meta, programmatic platforms) for campaign ...

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of ... Google Meet or Zoom) -- never WhatsApp, Telegram, or SMS. * We'll never ask for payment or personal ...

Showing results 21-40

Director Google Data Science information

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 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.

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.

What are the most commonly searched types of Google Data Science jobs in California?

The most popular types of Google Data Science jobs in California are:

What are popular job titles related to Director Google Data Science jobs in California?

For Director Google Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Director Google Data Science jobs in California look for?

The top searched job categories for Director Google Data Science jobs in California are:

What cities in California are hiring for Director Google Data Science jobs?

Cities in California with the most Director Google Data Science job openings:

Infographic showing various Director Google Data Science job openings in California as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution.

Data Scientist, Search, Multimodal

Google Inc.

Mountain View, CA • On-site

$138 - $198/hr

Other

Re-posted 4 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies


Job description

Google – Mountain View, CA, USA

Qualifications
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding in Python, R, or SQL; or 2 years of experience with a Master's degree.
Preferred Qualifications
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding in Python, R, or SQL.
About the job

The Search Multimodal 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 data from inputs including images (Lens), voice, and contextual signals. We drive product strategy and innovation for some of Google's fastest-growing Search surfaces, ensuring our AI‑first features are intuitive, effective, and power new ways for users to find information and complete tasks, any way, anywhere.

Within the Multimodal team, the Voice and Search Live Data Science team is dedicated to revolutionizing how users interact with Google through voice. Our mission is to deeply understand and enhance the end‑to‑end user journey for both established Voice Search and the cutting‑edge AIM Voice and Search Live product – our AI‑powered, conversational, multi‑turn experience. We leverage data to analyze user behavior, identify pain points and opportunities, design and interpret experiments, and define the metrics that guide the development of more natural, efficient, and intelligent voice‑first interactions.

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.

Responsibilities
  • Drive growth analysis and user understanding, delving deep into user behavior patterns, identifying opportunities for growth, and understanding the end‑to‑end user journey across our multimodal surfaces.
  • Conduct rigorous analysis for important launches, designing, implementing, and analyzing A/B tests and other experiments to measure the impact of new features and product changes, ensuring we make data‑driven decisions.
  • Contribute to our analysis infrastructure and AI upskilling efforts, helping to build and refine the tools, pipelines, and best practices our team uses, while also staying at the forefront of AI techniques to enhance our problem‑solving capabilities and unlock new insights.
Compensation and Benefits

US: $138,000 - $198,000 (USD) + 15% bonus target + equity + benefits.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Equal Employment Opportunity

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.

Recruitment Policies

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.

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

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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