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Data Scientist, Research, Core Compute Analytics

A leading global technology company that specializes in internet-related services and products.
$166,000 - $244,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

Description For Data Scientist, Research, Core Compute Analytics

Google is seeking a Data Scientist to join their Core Compute Analytics team, focusing on improving the efficiency and performance of Google's infrastructure. This role sits at the intersection of traditional compute and machine learning infrastructure, working across both Borg and Google Compute Engine (GCE) systems.

The position offers a competitive base salary range of $166,000-$244,000 plus additional compensation including bonus, equity, and comprehensive benefits. This is a mid-level role requiring 5 years of experience (or 3 with a PhD) and a master's degree in a quantitative field.

The role involves collaborating with Core Infrastructure and Google Cloud Platform teams to optimize compute resources and enhance infrastructure efficiency. Key responsibilities include building data pipelines, developing statistical modeling frameworks, and managing compute telemetry to guide infrastructure development decisions.

As a Data Scientist in this role, you'll work with large datasets to perform end-to-end analysis, translate business problems into data science questions, and communicate results to stakeholders. Leadership opportunities include identifying new areas where data science can impact Google's compute infrastructure and leading initiatives to scale the team's work.

The position requires strong analytical and programming skills, particularly in Python, R, and SQL, along with the ability to work cross-functionally with engineering, operations, product, and other data science teams. You'll be part of shaping the next generation of Google's compute infrastructure while working with cutting-edge technology and massive-scale systems.

This role offers the opportunity to work at one of the world's leading tech companies, with access to vast computational resources and datasets, while solving complex problems that impact Google's global infrastructure. The position is based in Sunnyvale, CA, and offers the chance to work with talented teams across Google's technical organization.

Google provides a comprehensive benefits package and is committed to creating an inclusive workplace, offering equal opportunities regardless of background. The company's culture emphasizes innovation, collaboration, and technical excellence, making this an ideal role for a data scientist looking to make a significant impact on large-scale infrastructure systems.

Last updated 2 days ago

Responsibilities For Data Scientist, Research, Core Compute Analytics

  • Work with engineering and product teams to enable insights and data-driven decision making for improving efficiency and performance of both Google's traditional and ML compute infrastructure
  • Work with a large data set to perform end-to-end analysis
  • Provide leadership and identify new areas where data science can play a significant role
  • Lead initiatives to enhance the data, tools and methodology
  • Interact cross-functionally and cultivate partnerships with various teams

Requirements For Data Scientist, Research, Core Compute Analytics

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 Data Scientist, Research, Core Compute Analytics

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Bonus
  • Equity
  • Benefits package

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