Senior Staff Data Scientist, GeminiApp x-Product

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.