Company Description
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, Reverb, 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.
Salary Range:
$136,000.00 - $176,000.00What’s the role?
We are looking for a Senior Data Scientist to join our Inventory Buyer Experience team! This team’s focus is helping buyers easily evaluate key information about our listings and crafting a delightful personalized shopping experience. As the Senior Data Scientist on this team, you will be evaluating opportunities to improve web and app experiences for our buyers, and applying sophisticated analytical techniques to break down high-level strategy questions into actionable insights. You will also play a critical role in conducting and evaluating experiments to drive decision-making about products and features.
This is a full-time position reporting to the 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?
This role is a part of the Product Analytics team, which uses rigorous methods to generate insights that inform product, 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.
What does the day-to-day look like?
Partner and work collaboratively with the cross-functional Inventory Buyer Experience team.
Play a meaningful role in finding opportunities to further improve buyer experiences and driving decision-making with your partners.
Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results.
Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency, and clear documentation.
Design and define metrics to ensure robust measurement of product performance.
Build foundational data sets using SQL and database skills.
Craft outstanding dashboards and visualizations using Looker, as well as impactful presentations for senior leaders.
Possess a deep level of curiosity and appetite for learning, which drives you to finding outstanding solutions.
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualities that will help you thrive in this role are:
4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.
Successful track record of guiding product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and make data-driven decisions. Experience working in a two sided marketplace environment preferred.
Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills.
Deep understanding of experimentation theory and practical experience designing and analyzing online experiments.
Specialize in sophisticated analyses and regularly use statistical methods in your work.
Proficiency with Looker, Tableau, or other data visualization software.
Distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse.
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