Staff Data Scientist, Products, Googler Technology Engineering

Google is a global technology leader providing innovative products and services to billions of users worldwide.
Data
Staff Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS

Description For Staff Data Scientist, Products, Googler Technology Engineering

Google is seeking a Staff Data Scientist to join their Products and Googler Technology Engineering team. This role is crucial in serving Google's massive user base of over a billion people. As a Data Scientist, you'll provide quantitative support, market understanding, and strategic perspective throughout the organization. You'll work with teams across Google to apply cutting-edge Data Science techniques to enterprise opportunities, partnering with Research, Core Enterprise ML, and ML Infrastructure teams. The role combines technical expertise in data analysis, machine learning, and statistical modeling with leadership responsibilities, requiring both hands-on technical work and team management. You'll be responsible for leading a team of data scientists, defining roadmaps, overseeing projects, and building cross-functional relationships. The position offers the opportunity to work on large-scale data challenges while contributing to Google's enterprise solutions. The ideal candidate should have extensive experience in statistical analysis, ML product lifecycle, and technical team leadership, making this an excellent opportunity for those looking to impact Google's data-driven decision-making at a senior level.

Last updated 19 hours ago

Responsibilities For Staff Data Scientist, Products, Googler Technology Engineering

  • 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, Googler Technology Engineering

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
  • Master's degree or PhD in machine learning, statistics, a related field, or equivalent practical experience (preferred)
  • 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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