Staff Data Scientist Manager, Search Discovery

Minimum qualifications:

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  
• 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 6 years of experience with a PhD degree.
• Experience working with consumer-facing technical products.

Preferred qualifications:

• Experience designing A/B tests, analyzing experimental results to validate assumptions, measuring product efficacy, and informing product decisions.

About the job

Discover's mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content. It is a personalized feed that understands our users, their interests, and the content of the world and brings these together in a way that only Google can. Our role in data science is to partner with cross-functional stakeholders to inform the strategy with data and identify key opportunities, and then to accelerate execution through insights, measurement and experimentation.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Collaborate with Engineering and Research teams to design and execute A/B tests, analyze experimental results to validate assumptions, measure product efficacy, and inform launch decisions.
• Use custom data infrastructure or existing data models as appropriate. 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, as well as the existing and upcoming data infrastructure.
  
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
  
• Conduct headroom analyses to assess the potential impact of new product concepts and contribute to project prioritization.