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 employee, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

We believe exceptional companies are built by exceptional teams, and we're intentional about it. That means hiring great people, setting them up for success from day one, and giving them real reasons to grow their careers here. We invest in development that goes beyond promotions, and we foster the trust and relationships that help people do their best work together.

What’s the role?

As a Senior Data Scientist on the Ads Marketplace team, you will uncover insights that shape the strategy behind Etsy Ads, one of our most important seller-facing products. You will help us understand how to maximize the value of sellers’ advertising budgets while balancing outcomes across our marketplace. In this role, you will partner closely with product managers, engineers, and applied scientists, connecting the dots between customer problems and the technical details of our models and systems. We are looking for someone who understands how to weigh opportunities, create unique insights, and bring analytical depth to a highly technical domain.

This is a full-time position reporting to the Senior Manager, Analytics.

What’s this team like at Etsy?

• The role is a part of the Product Analytics team which is responsible for helping drive the success of product efforts at Etsy. We partner with cross-functional peers through all stages of development, using rigorous methods to: identify initial opportunities, refine the user experience, analyze the impact of our efforts, and highlight improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience!

• This role partners with the Ads Marketplace Squad within MARS (Machine Learning Enablement, Alliances & Understanding, Recommendations, and Search), the organization that develops the machine learning capabilities powering Etsy’s search and discovery experiences. You’ll collaborate with highly technical product managers, engineers, and applied scientists who value analytical insights as essential to delivering more relevant results for buyers

• 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?

• Lead all analytical aspects of the product lifecycle from sizing opportunities all the way through to measuring success via experimentation for machine learning squads.
• Work closely and collaboratively with the Ads Marketplace leads to define key analysis questions
• Use rigorous methods to conduct analysis and produce insights to improve the models that power Etsy Ads.
• Define metrics to ensure robust measurement of product performance.
• 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.
• 1+ year of experience as an data scientist or data analyst developing, evaluating, or analyzing the performance of machine learning models.
• Successful track record of guiding product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and data-driven decisions. Experience working in a two sided market places environment.
• Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with the Spark ecosystem; and Looker, Tableau, or other data visualization software.
• Experience with crafting and analyzing online experiments with a good understanding of A/B testing.
• Ability to conduct sophisticated analyses and regularly use advanced statistical methods (ex. Propensity Score Matching, Causal Impact, Regression Models) in your work.
• Comfortable with distilling complex insights into compelling narratives for senior executives, both verbally and visually.

Compensation & Benefits

In addition to salary, you'll be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family. Base salary is determined by your location, skills, and experience.

Etsy uses two geographic pay zones to reflect the labor markets where we compete for talent: one called Geo-1, covering the New York City metropolitan area, San Francisco Bay Area, and Seattle metropolitan area, and one called Geo-2, covering all other U.S. locations. Salary ranges for this role vary by zone and are listed below.

Location

We prioritize candidates based within commutable distance of Etsy’s Brooklyn Office. Depending on proximity, we ask team members to come in once or twice per week. Remote candidates outside commutable distance may be considered on a case-by-case basis, with the expectation of occasional travel to the office. Learn more details about our work modes and workplace safety policies here.

Salary Range:

What's Next

If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

Our Promise

At Etsy, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, national origin, religion or creed, sex, pregnancy (including childbirth and related medical conditions), gender, gender identity or expression, sexual orientation, age, citizenship or immigration status, marital or familial status, physical or mental disability, medical condition, genetic information, military or veteran status**, or any other characteristic protected by applicable federal, state, or local law**. If, due to a disability, you need an accommodation during any part of the interview or hiring process, please let your recruiter know and we will work with you to meet your needs. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.