Senior Data Scientist, Product, Power Forecasting and Optimization

Google is a global technology company that provides a wide range of internet-related services and products.
$142,000 - $211,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Scientist, Product, Power Forecasting and Optimization

Google is seeking a Senior Data Scientist to join their Product team, focusing on Power Forecasting and Optimization. This role represents an exciting opportunity to work at one of the world's leading technology companies, serving over a billion users worldwide. The position combines technical expertise in data analysis with strategic business impact.

The ideal candidate will bring strong quantitative skills and experience in statistical analysis, data mining, and project management. You'll be working with cutting-edge tools and technologies, using languages like SQL, R, and Python to derive meaningful insights from complex datasets. The role requires both technical depth and the ability to communicate findings effectively to executive leadership.

As a Data Scientist at Google, you'll be part of an engineering-driven culture that values innovation and technical excellence. You'll work in a collaborative environment, partnering with cross-functional teams to drive data-informed decisions that impact Google's products and services. The role offers significant growth opportunities, working on challenging problems at scale.

The position comes with competitive compensation, including a base salary range of $142,000-$211,000, plus additional benefits such as bonus and equity. Google offers a comprehensive benefits package and is committed to creating an inclusive workplace environment. The role is based in either Sunnyvale or San Francisco, CA, providing flexibility in location choice within the Bay Area.

Key responsibilities include performing complex analyses, building new processes and procedures, reporting on KPIs, and influencing cross-functional teams. You'll have the opportunity to work on meaningful projects that directly impact Google's products and services, while developing your expertise in data science and analytics.

Google's commitment to innovation and technical excellence makes this an ideal role for someone looking to make a significant impact while working with cutting-edge technology and data science tools. The company's scale and resources provide unique opportunities to work on challenging problems that affect millions of users worldwide.

Last updated 7 days ago

Responsibilities For Senior Data Scientist, Product, Power Forecasting and Optimization

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution
  • Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues
  • Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team
  • Translate analysis results to business insights or product improvement opportunities
  • Build and prototype analysis and business cases iteratively to provide insights at scale
  • Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development
  • Influence across teams to align resources and direction

Requirements For Senior Data Scientist, Product, Power Forecasting and Optimization

Python
  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
  • 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL)
  • 3 years of experience managing analytical projects
  • 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products
  • 3 years of experience working in a complex, matrixed organization
  • 1 year of experience preparing and delivering technical presentations to executive leadership

Benefits For Senior Data Scientist, Product, Power Forecasting and Optimization

  • bonus
  • equity
  • benefits

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