Data Scientist, Research, DeepMind

Minimum qualifications:

• Master's degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience.
• 4 years of experience designing and executing multi-method research (e.g., RCTs, field studies, quasi-experiments) to measure cognitive, behavioral, and organizational outcomes.
  
• 2 years of experience researching the impact of AI, collective intelligence, or technological transformation on organizations.

Preferred qualifications:

• PhD degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience
• Experience partnering with product/engineering teams to develop science-backed tools or interventions.
• Track record of collaborations with cross-functional leadership in research and product areas.
• Demonstrated ability to translate complex empirical findings into actionable strategies for executive leadership and engineering teams.

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.

Responsibilities:

• Design and execute a portfolio of multi-method research projects spanning generative, experiential, computational, and experimental methodologies, balancing scientific excellence with the pace of a frontier AI lab.
• Define and uphold the team's experimental governance and scientific quality standards, including research ethics, data privacy, and reproducibility protocols.
• Drive research that closes the loop between empirical insights and AI capability development, ensuring behavioral findings directly inform the design and evaluation of new tools, simulations, and benchmarks.
• Collaborate across DeepMind technical teams — and, where relevant, with leading external academic partners — to manage open questions at the intersection of AI and organization science.
• Co-author high-impact research papers, white papers, and executive syntheses that combine scientific authority with broad organizational relevance.