Senior Data Scientist, Research

A global technology company that specializes in internet-related services and products, including search, cloud computing, software, and hardware.
$166,000 - $244,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI

Description For Senior Data Scientist, Research

Google Search is seeking a Senior Data Scientist to join their research team, focusing on reimagining search capabilities and solving complex engineering challenges. This role combines advanced analytics, machine learning, and data infrastructure expertise to drive improvements in Google's search functionality. The position offers competitive compensation ($166,000-$244,000) plus benefits and equity, and requires strong quantitative skills with 5+ years of experience. The role involves collaborating with cross-functional teams, designing mathematical models, and implementing data-driven solutions. Located in either Mountain View or New York, this position particularly seeks candidates with experience in Generative AI and AI summaries. The role represents an opportunity to impact billions of users globally while working with cutting-edge search technology. Google offers a comprehensive benefits package and maintains a strong commitment to diversity, equality, and inclusion in its hiring practices.

Last updated 7 minutes ago

Responsibilities For Senior Data Scientist, Research

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent
  • Gather information, business goals, priorities, and organizational context around the questions to answer
  • Own the process of gathering, extracting, and data across sources via relevant tools (e.g., SQL, R, Python)

Requirements For Senior Data Scientist, Research

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree

Benefits For Senior Data Scientist, Research

Medical Insurance
Equity
401k
  • Medical Insurance
  • Equity
  • 401k

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