Discover DS Data Scientist, Research

Discover DS Data Scientist, Research

From the beginning, Google's mission has been to organize the world's information and make it universally accessible and useful, and we consider it a privilege to be able to help. As technology continues to evolve, our commitment remains to help users in their journey to connect to helpful information more easily, leveraging technology to find new ways to satisfy users' information needs.

Discover is a personalized recommendation feed that provides users with relevant and meaningful information based on their interests and our understanding of the world's information. Our mission is to help users find answers to their questions, but also to proactively enable users to discover new information, stay up-to-date on what matters to them and expand their knowledge.

Our role in Discover Data Science is to partner cross-functionally to solve the mission with a data-informed strategy, identifying opportunities and accelerating execution. The Discover DS Personalization and Quality team is a group of data scientists who work closely with engineers, product managers, and UX researchers.

The US base salary range for this full-time position is $141,000-$202,000 + 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.

Responsibilities:

• Work with large, complex data sets and solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development and business strategy.
• Define metrics and measurement techniques, assessing applicability and making recommendations on the use of these techniques and on the interpretation of results.
• Interact cross-functionally with SWE, PM, and UXR partners. Work closely with engineers to identify opportunities for design and assess improvements to our products.
• Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

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

Preferred qualifications:

• 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 a PhD degree.
• Ability to clearly explain stats or domain knowledge to people not familiar with the subject matter or who lack a quantitative background.
• Ability to collaborate cross-functionally and work effectively within a distributed team.
• Strong communication skills.
• Excellent collaboration skills.