Senior Data Scientist, GeminiApp, DeepMind

About the Job

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.

For United States Applicants:

The US base salary range for this full-time position is $232,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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.

Qualifications

Minimum 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.
  

Preferred qualifications:

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