Senior Data Scientist, Generative AI, Google Cloud

As a part of Machine Learning (ML), Systems and Cloud AI (MSCA), The team is positioned to build data practices throughout Google, working with teams like Google DeepMind (GDM) and Cloud AI.

• Work with data sets, solve non-routine analysis problems, apply advanced analytical methods as needed, conduct analysis that includes data gathering and requirements specification, processing, cleaning and curation, analysis, visualization, ongoing deliverables, and presentations.
• Share analysis to stakeholders and organization executives in order to share insights, influence product direction and answer difficult questions regarding data quality measurement and impact on model performance.
• Build and prototype analysis pipelines to provide insights at scale, work with product teams to incorporate important analysis into existing framework and tools.
• Interact cross-functionally with a wide variety of product and model teams, work with engineers to identify opportunities for design, and assess improvements of data quality and model performance.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.


• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree., Master's degree or PhD in Statistics, Computer Science, Engineering or Mathematics.
• 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.
• Experience with human evaluation data such as surveys.
• Experience with large datasets in a distributed system.
• Experience articulating business questions and using mathematical techniques and data to find a solution, and with translating analysis results into business recommendations.
• Experience with modern machine learning techniques, including sequence/transformer modeling experience in NLP/speech domains.
The team works with model and product teams to measure and improve data quality, collect and generate high quality data, develop evaluation methodologies, and enhance model performance.