Provide data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.

Conduct analyses to identify the significant opportunities for improving the Shopping Graph. Identify and advocate novel and innovative data science approaches.

Communicate complex findings and recommendations. Operate with a high degree of autonomy, managing projects from conception to impact. Contribute towards building a data science team that has engineering style work quality.

Build innovative data products, including self-serve tools, experimentation frameworks, automated rating systems, and human evaluation platforms.

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.