# Senior Staff Data Scientist, GeminiApp x-Product

**Company**: GeminiApp
**Location**: Mountain View, California, US
**Work arrangement**: onsite
**Experience**: staff
**Job type**: full-time
**Salary**: $248,000 USD - 349,000 USD + bonus + equity + benefits
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7576202?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_970e6d0b-743

## Description

## 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.

## Skills

### Required
- data science
- machine learning
- statistics
- python
- R
- SQL
- database querying
- statistical analysis

### Nice to have
- modern machine learning
- LLM techniques
- organization
- prioritization
- written communication
- verbal communication
- data science coding

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/deepmind/jobs/7576202?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)