Senior Data Scientist
Google DeepMindAbout the role
Applicants in San Francisco: Qualified 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.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA.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.
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.
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 - $252000 (USD) + 15% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
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.
Google 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 .
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 users and enhance product capabilities
- Advocate data-driven culture by feeding user engagement insights back into models
- Collaborate with the GenAI team on model quality and feature adoption
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 and generating summary statistics
Benefits
- 15% bonus target
- equity
- comprehensive benefits
Skills mentioned
About Google DeepMind
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
H-1B sponsorship history
Historical employer filing data was found for Google DeepMind. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.