Senior Data Scientist, GeminiApp, DeepMind

Google LLC; Zürich; Hybrid; CHF 193,000 - 209,000; Full time

Job summary

Google DeepMind is hiring a Senior Data Scientist for GeminiApp to partner with product, engineering, and UX to drive data-driven strategies across our platform. You will translate ambiguous questions into well-defined experiments and analyze large data sets to deliver actionable insights for executives.

You will build and deploy statistical/ML models to improve user experience and product capabilities, collaborating with GenAI teams and stakeholders worldwide in a dynamic environment.

Qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence.

Responsibilities

• Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies.
• Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives.
• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience.
• Advocate data-driven culture by feeding user engagement insights back into models.
• Collaborate with the GenAI team on model quality and feature adoption.

Skills

Executive presentation

Cross-functional leadership

Education

Master's degree in a quantitative discipline

Job description

Senior Data Scientist, GeminiApp, DeepMind

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corporate_fare DeepMind place San Francisco, CA, USA ; Mountain View, CA, USA ; +2 more

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Zürich, Switzerland.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

Preferred qualifications:

• Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence.

About the job

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: $232000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies.
• Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives.
• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience.
• Advocate data-driven culture by feeding user engagement insights back into models.
• Collaborate with the GenAI team on model quality and feature adoption.

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 .

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.

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.