Data Scientist, Product Analytics

Data Scientist, Product Analytics

This job is no longer open

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, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Job Description

What’s the role?

Transform raw data into impactful analysis characterized by strong data governance/documentation, rigorous techniques, and actionable recommendations.

Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our product experience, identify areas for improvement, and drive decision-making.

Identify impactful metrics to understand the performance of products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.

Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.

Continually evaluate and refine your technical toolkit; teach what you learn to the team.

This is a full-time position reporting to the Peter Goldberg. For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.

What's the 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: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience!
  • This position supports Etsy’s International CX group. This is a group that focuses on growing Etsy in non-US markets.

What does the day-to-day look like?

  • Data scientists at Etsy use 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.
  • In this role, you would partner closely with our International Experience team, whose focus is growing non-US markets.
  • Lead all analytical aspects of the product lifecycle from sizing opportunities all the way through to measuring success via experimentation.
  • Work closely and collaboratively with Product Managers in International CX to craft a well defined analytics roadmap.
  • 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.

Qualifications

Qualities that will help you thrive in this role are:

  • 2-4 years experience in a data scientist or data analyst role in which you extracted meaning from big data sets with little engineering support.

  • Understanding of the principles of A/B testing, and experience crafting and analyzing experiments.

  • Proficiency in SQL and 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 is a plus.

  • Desire to advance your technical skill set and to apply new methods to impactful questions.

  • Ability to communicate your insights verbally, visually, and in writing, and care for the quality and integrity of your work.

  • Ability to play a key role on a cross-functional team.

  • Passion for subjects such as experimental design, data visualization, and statistical analysis techniques.

Additional Information

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 an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

For U.S. roles only:

Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.

This job is no longer open
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