Director, Data Science, Personalization, Gemini App, DeepMind

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Cloud Computing, Construction, Consulting, Customer/Client Research, Data Science, English Language, Equal Employment Opportunity (EEO), Establish Priorities, Financial Services, Genetics, Internet Security, Internet of Things, Mandarin Chinese Language, Mechanical Engineering, Mentoring, Metrics, Network Operations Center, Operations Security (OPSEC), Performance Metrics, Product Development, Product Engineering, Project/Program Management, Quality Management, Quality Metrics, Recruiting/Staffing Agency, Regulatory Requirements, Sales Management, Statistics, Stock Purchase Plans, Technical Leadership, Training/Teaching, User Interface/Experience (UI/UX), Web Analytics
LOCATION
Mountain View, CA
POSTED
6 days ago

Director, Data Science, Personalization, Gemini App, DeepMind - Google Careers

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Director, Data Science, Personalization, Gemini App, DeepMind

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Minimum qualifications:

  • Bachelor's degree in Data Science, or similar technical field of study, or equivalent practical experience.
  • 15 years of professional experience as an data science leader.

Preferred qualifications:

  • Master"s degree or PhD in Data Science, Statistics or related field.
  • Experience in Generative AI model training and development, large-scale consumer product development, or other AI/ML research and foundations.
  • Ability to influence decision making at the director level, aligning incentives across multiple stakeholders.
  • Track record of establishing a data-driven culture through infusing critical measurement and analysis into the team's operations.

About the job

As the Personalization Data Science Director for GeminiApp, you will be responsible for creating a personalized AI experience for our users. This critical role requires a leader capable of navigating novel and highly ambiguous problems in a fast-paced environment. You will drive a strategic shift in our operations, evolving our understanding of performance beyond isolated metrics to a holistic view that connects development directly to long-term product success. You will enable our product and engineering teams to release high quality features and move fast by developing personalization measurements and insights that drive user growth.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

US: $384000 - $428000 (USD) + 30% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Define and lead a strategic shift in personalization measurement, moving beyond isolated metrics to a holistic framework, including online metrics and offline eval's that reflect what drives value for our users and product success.

  • Influence senior stakeholders across disparate organizations to align GeminiApp's personalization strategy with rigorous insights, navigating conflicting priorities to ensure OKRs reflect true long-term user value rather than just immediate short-term signals.

  • Partner closely with Engineering, Product, and UX leaders to drive innovation velocity while maintaining rigorous quality standards in a fast-paced, highly ambiguous environment.

  • Mentor and develop a high-performing AI Data Science team capable of thriving in ambiguity and leading complex, novel projects.

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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