About
Google DeepMindGoogle DeepMind · Mountain View/New York City
Senior Data Scientist, GeminiApp, Ecosystems
11/1/2025
Description
- Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale.
- As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology.
- As part of the Ecosystem Data Science team, you will use data to produce insights on emerging trends across all of GeminiApp and our competitors. Your work will be highly visible and highly impactful: this team’s output regularly influences decision-making at the VP+ levels.
- Translate ambiguous questions into well-defined problems
- Analyze large complex datasets to produce concise, actionable insights
- Communicate findings and recommendations to executive stakeholders, including visualizing data in a clear, compelling way
- Develop, implement, and track top-level product and business metrics
- Dive into metric developments and changes, and identify key drivers and root causes
- Automate currently manual metric reporting flows and outputs
- Build and deploy statistical/ML models to understand our users and product capabilities
- Partner with product, engineering, and UX to develop data-driven product insights and strategies
- Champion data-driven culture by feeding user engagement insights back into models
Qualifications
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.
- 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives.
- Proven experience in identifying data-driven opportunities for business/product improvement and defining/measuring the success of those initiatives
- Proven experience in setting up, maintaining, and reporting on top-line product performance and business metrics
- Strong communication, writing, and presentation skills
- Past experience on a performance or growth data science or similar team
- Experience with experimental design and analysis
- Experience working with large and messy datasets to solve ambiguous business problems
- Ability to self-start and self-direct work in an unstructured, fast-paced, challenging environment
- A bias for action and creative problem-solving and ability to work effectively across functions and PAs
Benefits
The US base salary range for this full-time position is between $156,000- $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.