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Job Type
Full Time
Job Details
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Kirkland, WA, USA; Sunnyvale, CA, USA. Minimum qualifications:
Preferred qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
- 1 year of experience in generative AI and machine learning.
- Experience with LLMs (large language models).
Preferred qualifications:
- PhD degree.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
About the job
The mission of Cloud Supply Chain Operations Data Science and Simulation team is to improve efficiency through applied machine learning, statistical and simulation modeling as well as prescriptive insights. Efficiency could come in the form of cost-savings, reduced deployment/maintenance time, and improved supply/demand predictability. Our data science modeling and analytics work also focuses on projects that increase satisfaction of the users, elevate our measurement capabilities and improve key business metrics.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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. - Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Serve as Large Language Models (LLM)/Generative AI (GenAI) modeling subject-matter-expert across Cloud Supply Chain Operations organization.
- Research and apply latest GenAI technologies on supply chain and operations use cases and problems.
- Develop other machine learning, statistical, and optimization models to improve supply chain and operations efficiency. Most of our (non-LLM) modeling needs are on forecasting and classification.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Company Details
Google Inc.
Mountain View, CA, United States
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more