Senior Data Scientist, GeminiApp, DeepMind

San Francisco, CAOnsiteFull TimeSenior$232,000–$252,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

data analysis
data science
quantitative discipline
statistics
sciences
large datasets
statistical models
ML models
product strategies
experiment design

Nice to have

leadership through influence
present to executives

Role summary

Google DeepMind is seeking a Senior Data Scientist for the GeminiApp team to advance AI development and drive product innovation. This role involves partnering with product, engineering, and UX teams to develop data-driven strategies, design experiments, and analyze large datasets. The scientist will build and deploy ML models to understand users and enhance product capabilities, while fostering a data-driven culture and collaborating with the GenAI team. A Master's degree in a quantitative field and 4 years of data analysis or data science experience are required. Preferred qualifications include strong communication and stakeholder management skills.

Minimum 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.

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.

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.

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