Data Scientist, Product, Search Discover

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

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 from the voices they care about. It is a personalized feed that understand our users, their interests, and the content of the world and brings these together in a way that only Google can. We want to build a feed that is a valuable use of peoples time.

Discover is already a successful product with hundreds of millions of Daily Active Users across many apps and our goal is to make it much better. It is a top priority for Search and we are working to deepen our market fit and expand the product. Our role in data science is to partner with cross functional to inform the strategy with data and identify key opportunities, and then to accelerate execution through insights, measurement and experimentation.
As a Product Data Scientist in Search, you will provide quantitative support, market understanding, and a strategic perspective to our partners throughout the organization. You will serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You will make critical recommendations for Googlers in Engineering and Product Management. You will relish tallying up the numbers one minute and communicating your findings to a team leader the next.The US base salary range for this full-time position is $132,000-$189,000 + 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.

As a Product Data Scientist in Search, you will provide quantitative support, market understanding, and a strategic perspective to our partners throughout the organization. You will serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You will make critical recommendations for Googlers in Engineering and Product Management. You will relish tallying up the numbers one minute and communicating your findings to a team leader the next.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

• Partner with Product, Engineering, and cross-functional teams to influence, prioritize, and support the Discover Experiences product strategy.
• Apply technical expertise with observational data analysis, modeling, or causal inference to answer the most important product questions.
• Lead the design, analysis, and interpretation of product experiments or post-hoc causal inference analysis.
• Define and develop key metrics to measure users' journeys and experiences in Image Search.
• Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.