Senior Staff Data Scientist, GeminiApp, DeepMind

About the Job

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 will be 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 decisions are grounded in data.

In this role you will, partner with product, engineering, and User Experience (UX) to develop data-driven product strategies, and translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights. You will develop and implement novel, goal-oriented metrics and build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience. In addition, you will communicate findings and recommendations to stakeholders, including executives and advocate for data-driven culture by feeding user engagement insights back into models. Lastly, you will collaborate with the GenAI team on model quality and feature adoption.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $328000 - $365000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Partner with product, engineering, and UX to develop data-driven product strategies.
• 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 and recommendations to stakeholders, including executives.

Qualifications

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 9 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  

Preferred qualifications:

• Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence.