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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

Join Google as a Senior Data Scientist focused on Intelligent Automation and Recommendation, where you'll 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. You'll work with cutting-edge technology spanning tens of thousands of machines, supporting products like VertexAI and external customers.

The position requires expertise in statistical analysis, mathematical modeling, and machine learning, with a focus on applying these skills to planning and infrastructure problems. You'll collaborate with product designers and tech leads to provide quantitative insights and optimize products using ML methods and statistical tools.

The ideal candidate brings strong academic credentials in a quantitative field, coupled with significant practical experience in data science and analytics. Key skills include proficiency in Python, R, and SQL, along with expertise in statistical modeling and experimental design. Experience with large-scale computing, predictive modeling, and mathematical optimization is highly valued.

This role offers a unique opportunity to impact Google's core infrastructure while working with state-of-the-art technology and talented teams. You'll be part of Google's commitment to advancing AI and machine learning capabilities, while enjoying the benefits and growth opportunities that come with working at one of the world's leading technology companies.

Last updated 2 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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