Senior Data Scientist, Research, Workspace

Google is a global technology company that develops various internet-related services and products.
$150,000 - $223,000
Data
Senior Software Engineer
In-Person
5000+ Employees
5+ years of experience
Enterprise SaaS

Description For Senior Data Scientist, Research, Workspace

Google's Workspace Data Science team is seeking a Senior Data Scientist to drive data-driven decision making for products like Drive, Docs, Sheets, Slides, and Vids. This role combines analytical excellence with practical problem-solving, requiring expertise in statistical methods, data analysis, and programming. You'll work at the intersection of product development and data science, developing key metrics, generating insights, and building models to enhance product adoption and AI usage.

The position offers a competitive compensation package including a base salary range of $150,000-$223,000, plus bonus, equity, and comprehensive benefits. As a Senior Data Scientist, you'll collaborate with cross-functional teams including Engineers, Product Managers, and Marketing teams to shape Google's business and technical strategies.

The ideal candidate should have at least 5 years of experience in analytics and data science, with strong programming skills in Python, R, and SQL. A Master's degree in a quantitative field is required, with a PhD preferred. You'll be working on consumer-facing technical products, requiring both technical expertise and business acumen.

Your responsibilities will span from stakeholder collaboration and problem definition to sophisticated data analysis and model development. You'll own the entire data pipeline, from gathering and validating data to delivering actionable insights. This role offers an opportunity to impact Google's product development directly through data-driven insights and advanced analytical methods.

Working at Google means joining a company committed to diversity, equality, and inclusion, with a culture that values innovation and collaborative problem-solving. The role offers the chance to work with cutting-edge technology and contribute to products used by millions of people worldwide.

Last updated 21 hours ago

Responsibilities For Senior Data Scientist, Research, Workspace

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models
  • Use custom data infrastructure or existing data models as appropriate, using knowledge
  • Design and evaluate models to mathematically express and solve defined problems
  • 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 tools
  • Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis

Requirements For Senior Data Scientist, Research, Workspace

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field or equivalent practical experience
  • 5 years of experience in analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of experience with an advanced degree
  • Experience with consumer-facing technical products
  • PhD in statistics, economics, math, or a related quantitative field (preferred)

Benefits For Senior Data Scientist, Research, Workspace

  • bonus
  • equity
  • benefits

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