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Senior Data Scientist, Intelligent Automation and Recommendation

Google is a global technology company that provides a wide range of internet-related services and products.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Scientist, Intelligent Automation and Recommendation

Google is seeking a Senior Data Scientist to lead the transformation of resource management for hyperscale containerized platforms. This role combines advanced analytics, machine learning, and optimization to improve large-scale AI infrastructure deployments. The position offers a unique opportunity to impact key infrastructure supporting VertexAI and external customers across thousands of machines.

The ideal candidate will bring strong expertise in statistical analysis, mathematical modeling, and machine learning, with the ability to translate complex business problems into actionable solutions. They will work closely with product designers and tech leads to optimize systems and evaluate their impact using ML methods and statistical tools.

This role requires both technical depth and collaborative skills, as the successful candidate will need to work across teams to gather requirements, implement solutions, and drive improvements in product efficiency. The position offers exposure to cutting-edge AI infrastructure and the chance to solve complex optimization problems at scale.

The role combines elements of data science, machine learning engineering, and operations research, making it ideal for someone who enjoys working at the intersection of theoretical modeling and practical implementation. The successful candidate will have the opportunity to shape how Google manages its critical AI infrastructure resources while working with some of the most advanced computing systems in the world.

Last updated 3 days ago

Responsibilities For Senior Data Scientist, Intelligent Automation and Recommendation

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Gather information, business goals, priorities, and organizational context around the questions to answer
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools
  • Design and evaluate models to mathematically express and solve problems with limited precedent
  • Use mathematical optimization/operational research methods to improve products' efficiency and customer experience

Requirements For Senior Data Scientist, Intelligent Automation and Recommendation

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 5 years of 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
  • Experience with statistical data analysis, statistical modelling and experimental design

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