Senior Data Scientist, Product

Mexico City, Mexico

Etsy

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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.

What's the role?

As a Senior Data Scientist in Seller Analytics you will be building out and discovering insights for the heart of Etsy - our sellers. This scientist will be essential in helping us create best-in-class seller tools, monitoring and improving performance and adoption of these tools, and working to ensure new sellers onboarding to Etsy have a smooth process. As a senior data scientist, you will be a key partner in shaping the future of the Etsy seller service roadmap. This position acts as a leader and collaborator with product, design, engineering, and research to drive insights. We are looking for someone who understands how to weigh opportunities, create unique insights, and is passionate about thinking and communicating around the seller experience. Would you enjoy supporting a rapidly growing vector at Etsy and have an impact at the highest level? If so, this could be the perfect match.

This is a full-time position reporting to the Senior Manager of Payments and Seller Services 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 Mexico City office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of our Mexico City office or in Guadalajara 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?

Payments and Seller Services Analytics is an analytics team committed to applying the techniques of data science and analytics to drive significant insights, including:

  • Leading improvements to the seller experience using data driven insights

  • Understanding the nuances of Etsy’s sellers how they interplay with Etsy’s right to win

  • Building rich data sources of truth that interweave sophisticated seller data and foundational data from across the Etsy ecosystem

  • Finding and advocating for outstanding opportunities for Etsy’s growth that move critical metrics

  • We are a remote friendly team - all of our collaboration is inclusive of folks in an office and on the screen

What does the day-to-day look like?

  • Develop insights from trends and research in our seller data.

  • Work with our seller product teams to ensure launches are impactful and the seller experience is being improved.

  • Build foundational scripts using SQL and database skills.

  • Craft outstanding dashboards and visualizations using Looker.

  • Participate in dialogues with external vendors and collaborators, including technical developers.

  • Connect with partners on timelines, priorities, and expectations for proposals.

  • Continually evaluate and refine your technical toolkit; share what you learn with the team.

  • 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 supporting seller side e-commerce, or product/engineering teams as an analyst or in a quantitative role in which you extracted meaning from sophisticated data sets.

  • Have an understanding of two-sided marketplaces and e-commerce processes.

  • A proficiency in SQL and some experience with Python or R.

  • Fluent in English with the ability to communicate your insights verbally, visually and in writing.

  • A deep care about the quality of your data and the integrity of your work.

  • A passion for reproducible work and tools to this end; you can mentor others how to make their own work better and more efficient.

  • A curious nature about subjects such as quantitative analysis, data visualization, and process efficiency.

  • Validated project management skills and capability in carrying projects through to completion.

  • A trust in and dedication to Etsy’s vision, mission and values.

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. 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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Data visualization E-commerce Engineering Looker Python R Research SQL

Perks/benefits: Career development Competitive pay Equity / stock options Salary bonus

Region: North America
Country: Mexico

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