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Product Data Scientist, Sellside Ads

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

What they're looking for

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
More about this role
  • Make decisions from data, and be capable of maximizing impact by prioritizing requests from different stakeholders.
  • Collaborate as part of a team of analysts supporting PMs and engineering teams for our sellside products: AdSense and Google Ad Manager and AdMob.
  • Work cross-functionally with analyst colleagues in Finance and Publisher Intelligence.
  • Conduct ad-hoc deep dives into experiments and product performance to help prioritize product resource investments. Provide intelligence and quantitative support around auction fundamentals and engaged market dynamics; support our responses to regulatory inquiries and published research into these topics.
  • Analyze, uncover, and communicate upcoming risks and opportunities to the business. Develop infrastructure to scale and support existing analyses, and present findings to decision-makers and executives across the company.
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2...

Read the full posting on Google's site ↗

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