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Data Scientist, Product, Googler Technology and Engineering

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

Description For Data Scientist, Product, Googler Technology and Engineering

Join Google as a Data Scientist in the Googler Technology and Engineering team, where you'll play a crucial role in serving Google's billion-plus user base. This position combines advanced analytics, machine learning, and strategic decision-making to drive improvements across the organization. You'll work with Engineering and Product Management teams, transforming data into actionable insights and stories that influence key business decisions.

The role requires expertise in statistical analysis, machine learning, and programming, with a focus on the full ML product lifecycle from ideation to production. You'll be responsible for developing and implementing machine learning models, particularly in the Enterprise Support space, while working alongside ML Engineering teams to deploy generative AI models for internal Google users.

As a Data Scientist at Google, you'll have the opportunity to impact business decisions through data-driven insights, develop and maintain KPIs, and collaborate with cross-functional teams. The position offers the chance to work with cutting-edge technology and contribute to Google's innovative solutions while being part of a global team that values diversity and inclusion.

This role is perfect for candidates who combine strong technical skills with business acumen, can communicate complex findings effectively, and are passionate about using data science to solve real-world problems at scale. You'll be joining a company known for its innovative culture, world-class benefits, and commitment to making a positive impact through technology.

Last updated 2 days ago

Responsibilities For Data Scientist, Product, Googler Technology and Engineering

  • Provide leadership through proactive contributions and use insights and analytics to drive decisions
  • Work in team covering problem definition, metrics development, data extraction and manipulation
  • Define and report Key Performance Indicators (KPIs) and launch impact
  • Design and develop machine learning models to solve problems within Enterprise Support space
  • Review analysis and business cases conducted by others to provide feedback

Requirements For Data Scientist, Product, Googler Technology and Engineering

Python
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
  • 5 years of work experience with analysis applications and coding (Python, R, SQL) (or 2 years work experience with a Master's degree)
  • Experience with the full Machine Learning product lifecycle
  • Experience applying Machine Learning and advanced analytics solutions to enterprise operations teams

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