Senior Data Scientist, GeminiApp, DeepMind
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $232000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
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.
Data & ML pay context
Based on 1,389 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $210K (10th–90th percentile: $108K–$246K).
This posting lists $232K–$253K, above the $165K market median.
See the full Data & ML salary breakdown →