About the Role
As a Data Scientist lead on the GeminiApp team, you will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data.
Responsibilities
- Partner with PM, engineering, and UX leadership to develop data-driven product strategies across various areas of GeminiApp
- Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights
- Develop and implement novel, goal-oriented metrics
- Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience
- Communicate findings & recommendations to stakeholders, including executives
- Champion data-driven culture by feeding user engagement insights back into models
- Collaborate with the GenAI team on model quality and feature adoption
- Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work
What We're Looking For
- A bias for action and a relentless drive to build something great
- Strong business acumen and a strategic mindset
- Deep technical expertise
- Exceptional communication and presentation skills
- A collaborative and influential partner
- A commitment to user trust and privacy
Why You'll Love Working Here
- Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people
- Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs
- Team & Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it
Minimum qualifications
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree
Preferred qualifications
- Graduate degree in Statistics, Computer Science, Engineering or Mathematics
- Familiarity with modern Machine Learning and LLM techniques
- Strong organization and prioritization skills along with outstanding written and verbal communication skills
- Strong data science coding skills in Python, R, SQL or related languages
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
- Experience translating analysis results into business recommendations
- Proven experience delivering bespoke analytics to senior stakeholders (problem scoping/definition, modeling, interpretation, presentation)
Salary
The US base salary range for this full-time position is between $248,000 USD – 349,000 USD + bonus + equity + benefits.
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