Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. What’s the role? We are looking for a Data Scientist, Analytics that will partner with the Buyer Experience group, whose focus is supporting teams working to improve our consumer-facing experience to drive retention and frequency. You will play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data. This is a full-time position reporting to the Senior Manager, Product Analytics. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. This role requires your presence in Etsy’s Brooklyn Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here. What’s this team like at Etsy? Data scientists at Etsy use rigorous methods to generate insights that inform product, marketing, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed