Senior Data Scientist, AI Product & Insights Leader

Google LLC; Zürich; Hybrid; CHF 193,000 - 209,000; Full time

Job summary

Google DeepMind is hiring a Senior Data Scientist for GeminiApp to partner with product, engineering, and UX to drive data-driven strategies across our platform. You will translate ambiguous questions into well-defined experiments and analyze large data sets to deliver actionable insights for executives.

You will build and deploy statistical/ML models to improve user experience and product capabilities, collaborating with GenAI teams and stakeholders worldwide in a dynamic environment.

Qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence.

Responsibilities

• Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies.
• Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives.
• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience.
• Advocate data-driven culture by feeding user engagement insights back into models.
• Collaborate with the GenAI team on model quality and feature adoption.

Skills

Executive presentation

Cross-functional leadership

Education

Master's degree in a quantitative discipline

Job description

Google DeepMind is hiring a Senior Data Scientist for GeminiApp to partner with product, engineering, and UX to drive data-driven strategies across our platform. You will translate ambiguous questions into well-defined experiments and analyze large data sets to deliver actionable insights for executives.

You will build and deploy statistical/ML models to improve user experience and product capabilities, collaborating with GenAI teams and stakeholders worldwide in a dynamic environment.