Data Scientist, Analytics

Data Science, Analytics at Etsy use rigorous methods to generate insights that inform product, engineering and business decisions across the company. We work closely with partner teams through all stages of development, from uncovering opportunities, to refining the user experience, to analyzing the impact of our efforts, and highlighting improvement areas.

We use rigorous analytics to generate insights that inform product, marketing and business decisions across the company, and across the idea lifecycle -- from ideation to iteration to launch. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience for our buyers and sellers.

Learning new skills and techniques is not only a requirement but a perk of the job. We are always looking for opportunities to improve. Our mission is to guide our partner teams with data-driven insights and tell the story of how we attract and retain buyers to teams, to senior management, and to the community.

This role is located in our Brooklyn, NY and is part of our Analytics and Strategic Finance team.

About the Role

  • Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency and aggressive documentation.
  • Partner with senior leaders from product, engineering, and machine learning data science to identify opportunities for improvement and drive decision-making.
  • Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results.
  • Identify actionable metrics to understand the performance of products and algorithms, develop dashboards and/or reports to track performance, and ingrain these metrics into teams’ day-to-day decision-making.
  • Raise the skill level of entire analyst team through the creation of exemplary work, mentorship and the introduction of better practices, processes and tools.
  • Help advocate for Etsy’s data-driven decision-making process internally and externally.
  • Continually evaluate and refine your technical toolkit; teach what you learn to the team.

About You

  • You have 2+ years experience as a data scientist or data analyst in which you have extracted meaning from big data sets with little engineering support.
  • You are proficient in SQL and have familiarity with either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)
  • Experience with Looker, Tableau, or other data visualization software a plus.
  • You are a strong, independent, analytical thinker who enjoys tackling complex and nuanced problems.
  • You love statistics and have experience in statistical methods while being fluent in experimental analysis and a/b testing.
  • You can communicate your insights verbally, visually and in writing. You are able to take on loosely defined problems and distill complex findings into actionable recommendations.
  • You have experience working with web data and you are familiar with the e-commerce and/or marketplace space. Familiarity with search algorithms is a plus.
  • You care deeply about the quality and integrity of your work.
  • You care about reproducible work and have picked up tools to this end; you can teach others how to make their own work better and more efficient.

What’s Next

Interested in working with us? Send us a cover letter and your resume explaining why you’d be great for the job. We value your unique talents and point of view, so feel free to tell us what you are all about. And if you write, draw, craft, or contribute to something you’re proud of, we’d love to hear about it.
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.

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