Senior Data Scientist, Gemini App, Google DeepMind

<h4>Snapshot</h4> <p>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.</p> <h4>About Us</h4> <p>Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.</p> <h4>The Role</h4> <p>As a Data Scientist 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. 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.</p> <p><strong>Key responsibilities:</strong></p> <ul> <li>Partner with Verticals PM, engineering, and UX to develop data-driven product strategies</li> <li>Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights</li> <li>Develop and implement novel, goal-oriented metrics</li> <li>Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience</li> <li>Communicate findings &amp; recommendations to stakeholders, including executives</li> <li>Champion data-driven culture by feeding user engagement insights back into models</li>