Senior Data Scientist, GeminiApp, DeepMind

ph3Applicants in San Francisco /h3 pQualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. /p pNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; Zürich, Switzerland. /p h3Minimum qualifications /h3 ul liMaster's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. /li li4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. /li /ul h3Preferred qualifications /h3 ul liAbility to present to executives with clear communication, with a demonstrated track record of cross‑functional stakeholder management and leadership through influence. /li /ul h3About the job /h3 pArtificial 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. /p pWe 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. /p pUS: $ – $ (USD) + 15% bonus target + equity + benefits /p h3Responsibilities /h3 pLearn more about benefits at Google. /p ul liPartner with product, engineering, and User Experience (UX) to develop data‑driven product strategies. /li liTranslate ambiguous questions into well‑defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives. /li liBuild and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience. /li liAdvocate data‑driven culture by feeding user engagement insights back into models. /li liCollaborate with the GenAI team on model quality and feature adoption. /li /ul pGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. /p /p #J-18808-Ljbffr