Data Scientists on the team partner closely with product and business customers to develop the right metrics for understanding the business and how to improve our operations. When applicable, they follow up on suggested improvements by designing, fielding, and analyzing experiments to measure impact. They also work with our Data Engineering team to develop and maintain production data pipelines.
What you'll do

• Generate ideas for exploratory analysis to shape product and algorithm development
• Leverage data to perform intensive analysis across all areas of our marketplace to drive product development and business strategy
• Instrument events and develop metrics and dashboards to monitor our performance
• Contribute to experiment design and interpret the results to draw detailed and practical conclusions
• Perform thorough statistical analysis to understand the relationship between various marketplace factors that influence key outcomes
• Collaborate with cross-functional teams across fields such as product, engineering, operations, and marketing
• Present findings to senior management to identify the best product decisions

Basic Qualifications

• Advanced SQL expertise
• Proficiency with Python or R data analysis tools
• Basic understanding of experimental design (such as A/B experiments) and statistical methods
• Ability and experience in extracting insights from data, and summarizing findings / takeaways
• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

Preferred Qualifications

• Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
• 5+ years industry experience in consumer facing product analytics
• Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
• Advanced experience with experimental design and statistical methods such as causal Inference.
• Ability to communicate effectively and maintain collaborations coming from both technical and non-technical backgrounds