Staff Data Scientist, Products

Google is a global technology company serving over a billion users worldwide with various products and services.
Data
Staff Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS

Description For Staff Data Scientist, Products

Google is seeking a Staff Data Scientist to join their Products team, offering an exciting opportunity to impact billions of users worldwide. This role combines technical leadership with people management, requiring 7 years of experience in data analysis and 5 years in technical leadership.

The position involves leading a team of data scientists while partnering with Research, Core Enterprise ML, and ML Infrastructure teams to build solutions for enterprise. You'll be responsible for applying Google's cutting-edge Data Science techniques to enterprise opportunities, managing complex projects, and driving data-driven decision-making across the organization.

The ideal candidate will have strong expertise in statistical modeling, machine learning, and data mining, with proficiency in SQL and Python. They should have a proven track record of developing metrics, evaluating programs/products, and managing technical teams. A Master's degree in a quantitative field is required, with a PhD being advantageous.

This role offers the unique opportunity to work at the intersection of data science and enterprise solutions at one of the world's leading tech companies. You'll be instrumental in shaping the future of Google's enterprise offerings while leading and developing a team of talented data scientists. The position combines technical depth with strategic thinking, requiring someone who can both dive deep into complex analytical problems and communicate insights effectively to senior management.

Working at Google means joining a company committed to diversity, equity, and inclusion, with a culture that values innovation and collaboration. You'll have the chance to work on challenging problems at scale, with access to world-class resources and infrastructure. The role offers the opportunity to make a significant impact while working with some of the brightest minds in the industry.

Last updated 8 minutes ago

Responsibilities For Staff Data Scientist, Products

  • Lead and inspire a team of data scientists, provide technical guidance and career development support, and delegate and conduct performance reviews
  • Define the data science idea and roadmap, prioritize initiatives with measurable business impact, and stay current with industry trends and emerging technologies
  • Oversee data science projects, ensuring timely delivery and quality, define project scope, objectives, and success metrics, and manage project risks and resource allocation
  • Maintain knowledge in statistical modeling, machine learning, and data mining, contribute to the development of advanced analytics solutions, and evaluate and implement new tools and technologies
  • Build cross-functional relationships, communicate technical concepts clearly, present data-driven insights to senior management, and collaborate with engineering, product, and business teams

Requirements For Staff Data Scientist, Products

Python
  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
  • 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R
  • 7 years of experience developing and managing metrics or evaluating programs/products
  • 5 years of experience as a people manager within a technical leadership role
  • Experience with the full ML product lifecycle preferred
  • Experience building production ML pipelines preferred
  • Experience applying ML and advanced analytics solutions to enterprise operations teams preferred

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