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Data Scientist III, Research

Google is a global technology company that specializes in internet-related services and products, including search, cloud computing, software, and hardware.
$141,000 - $202,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Scientist III, Research

Google is seeking a Data Scientist III to join their Research team, specifically working within the Ads Metrics team supporting Search and Owned and Operated (O&O) ads. This role is part of the SAGE (Search Ads and Google Experience) organization, focusing on developing crucial ad products from classic text ads to rich shopping ads and innovative DemandGen ads.

As a Data Scientist at Google, you'll be at the forefront of technological innovation, working on products that impact billions of users worldwide. The role combines scientific and statistical methods to tackle product development and improvement challenges, with a strong focus on understanding end-user behavior. You'll be evaluating and improving Google's products while collaborating with a multi-disciplinary team of engineers and analysts.

The position offers a competitive base salary range of $141,000-$202,000, plus additional benefits including bonus, equity, and comprehensive benefits package. Located in Mountain View, CA, you'll be working at the heart of Google's innovation center. The role requires strong analytical and technical skills, including proficiency in Python, R, and SQL, combined with the ability to translate business questions into actionable analyses and mathematical models.

This is an excellent opportunity for someone with a strong quantitative background who wants to make a significant impact on Google's advertising products while working with cutting-edge technology and data at massive scale. The role offers the chance to work on complex problems while collaborating with some of the brightest minds in the industry.

Last updated 13 days ago

Responsibilities For Data Scientist III, 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
  • 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 relevant tools (e.g., SQL, R, Python)

Requirements For Data Scientist III, Research

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

Benefits For Data Scientist III, Research

Equity
Medical Insurance
  • Equity
  • Medical Insurance

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