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.
About the jobThe Merchant Data Science team is a group of data scientists (US, London, Zurich) within the Merchant Shopping Organization. We work on building scalable data products that empower data-driven decision-making.
We are looking for a passionate, engineering-minded Data Scientist who is eager to innovate on data science using genAI tools and build durable, impactful data products.
In this role, you will need to be a full-stack expert who can bridge the gap between software engineering, data engineering, and data science.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Responsibilities- Build innovative data products like self-serve tools, experiment frameworks, autorater and human evaluations.
- Operate and contribute towards building a data science team that has engineering style work quality.
- Provide data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.
- Conduct in-depth research and analyses to identify the most significant opportunities for improving the Shopping Graph.
- Communicate complex findings and recommendations clearly and effectively.
