Senior Data Scientist, Intelligent Automation and Recommendation

A leading global technology company that specializes in 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 impact critical infrastructure supporting large-scale AI deployments. The position involves working with product designers and tech leads to optimize systems spanning thousands of machines, including VertexAI and external customers. The ideal candidate will bring expertise in statistical analysis, mathematical modeling, and machine learning to solve complex infrastructure challenges. This role offers a unique opportunity to work at the intersection of data science and infrastructure optimization at one of the world's leading tech companies. The position requires strong collaborative skills, technical expertise in data analysis and modeling, and the ability to translate business questions into actionable insights. Working at Google provides exposure to cutting-edge technology and the chance to impact products used by millions globally.

Last updated 6 hours 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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