Job Description

The role involves serving as a key data science partner to Google's Merchant Shopping Organization, utilizing analytics to drive data-informed decisions and improve the Shopping Graph. Candidates will mentor junior data scientists, collaborate with product and engineering teams, and communicate complex findings to stakeholders.

Requirements

Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field (preferred).
12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (preferred).

Responsibilities

Serve as a Technical Lead, mentoring junior data scientists in defining high-value problem statements and ensuring project outcomes deliver measurable business impact.
Act as a consultant and thought partner to Engineering and Product Management leads, providing data-driven perspectives on product direction and opportunities.
Conduct deep-dive analyses to identify the most significant opportunities for improving the Shopping Graph.
Design and implement analysis (evals, log analysis etc.) to measure the impact of Shopping Graph data on key shopping experiences.
Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders, including executive leadership.

Benefits

Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.