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Company Description
Etsy is the global marketplace for unique and creative goods. We develop, support, and enhance the tools and technologies that connect millions of entrepreneurs with buyers globally. As an employee of Etsy Inc., which includes teams from Etsy, Reverb, Depop, or Elo7, you will solve unique, meaningful, and large-scale problems alongside passionate colleagues, while making a significant impact and preserving the humanity of commerce.
Job Description
What’s the role?
Data scientists at Etsy utilize rigorous methods to generate insights that inform product, engineering, and business decisions throughout the company. We collaborate with partner teams through all stages of development: proactively discovering opportunity areas, designing experiments to test hypotheses, analyzing the effects of our initiatives, and highlighting key learnings.
This is a full-time position reporting to the Senior Analytics Manager, Product Analytics. The base salary range will be from 130,000 -164,000 USD per annum. Additionally, you'll be eligible for an equity package, an annual performance bonus, and our competitive benefits supporting you and your family. This role requires your in-person or flex presence in Etsy’s Brooklyn office. We give priority to candidates within commuting distance of the Brooklyn Hub. Etsy offers various work modes to meet our team's diverse needs and preferences.
What’s this team like at Etsy?
Learning new skills and techniques is both a requirement and a privilege! We consistently seek opportunities for growth. With data and insights, we guide our partner teams and narrate how we attract and retain our users — to teams, to senior management, and to the community.
What does the day-to-day look like?
In this role, you will:
Take the lead on all analytical aspects of the organization - from sizing opportunities, building business cases, to measuring success through online/offline experimentation. Collaborate closely with Machine Learning and Applied scientists to measure and identify areas of improvement for our Estimated Delivery Date models. Work in close association with senior management within the Fulfillment organization to shape Etsy’s fulfillment strategy and vision. Build network models to discover opportunities in Etsy’s network design and service level optimization. Conduct various cost, speed, and reliability optimization analyses to provide tactical recommendations and actionable insights. Identify factors that improve shipping time estimates for our buyers.
Qualifications
You should have:
At least five years' experience as a logistics analyst, operations researcher, data scientist, or data analyst, where you've independently drawn meaning from large data sets with minimal engineering support. Mastery of SQL and proficiency in R/Python. Experience with network analysis & modeling and/or carrier contract modeling. Preferred experience in logistics optimization software (Llamasoft/Coupa, etc.). Working knowledge of speed, reliability, and cost tradeoffs in an e-commerce or online marketplaces setting. Comfortable conveying complex insights into compelling narratives for senior executives, both verbally and visually.
Additional Information
What's Next
If you're interested in joining Etsy, please share your resume with us and feel free to include a cover letter if you'd like. Etsy is a place that values individuality and diversity. We want you to be you!
Our Promise
At Etsy, we believe that a diverse, equitable, and inclusive workplace enhances relevance, resilience, and longevity. We invite applications from people from all backgrounds, ages, abilities, and experiences. Etsy is proud to provide equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you can identify them within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.
