Senior Data Scientist, GeminiApp, DeepMind at Google in San Francisco, CA, USA

Job description

• 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.
• We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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.

Requirements

• 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.

Skills

Required

• Data analysis
• Data science
• Identifying trends
• Generating summary statistics

Preferred

• Presenting to executives
• Cross-functional stakeholder management
• Leadership through influence

Benefits

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• US: $232000 - $252000 (USD) + 15% bonus target + equity + benefits
• Learn more about benefits at Google.