As a Data Scientist lead on the GeminiApp team, you are a key partner and co-creator in our product strategy while managing a growing team. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data.

Key responsibilities include: 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

We are looking for a bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge.

Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems.

Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R.

Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions.

A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption.

A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information.

You must meet the following minimum qualifications to

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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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