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Senior Data Scientist, Product Analytics

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Salary: 
136 - 176K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
New York (USA), United States

Offer summary

Qualifications:

4+ years experience as a data scientist., Mastery of SQL and proficiency in R/Python., Deep understanding of experimentation theory., Experience with Spark and data visualization software is a plus..

Key responsabilities:

  • Partner with the Search group on user engagement analysis.
  • Design and analyze experiments to inform product decisions.
Etsy logo
Etsy Internet XLarge https://www.etsy.com/
1001 - 5000 Employees
HQ: New York
See more Etsy offers

Job description

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 - $176,000.00

What’s the role?
We are looking for a Senior Data Scientist, Product Analytics that will partner with the Search group, whose focus is supporting buyers at the “browse” phase of their journey, with a focus on surfacing the best of Etsy. You will lay a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data.


This is a full-time position reporting to the Senior 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?

  • 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

What does the day-to-day look like?

  • Partner with the Search group, whose focus is supporting buyers at the “browse” phase of their journey, with a focus on surfacing the best of Etsy.

  • Play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data.

  • 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.

  • Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools.

  • 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.

  • Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with Spark and Looker, Tableau, or other data visualization software.

  • Deep understanding of experimentation theory and practice.

  • Specialize in sophisticated analyses and regularly use statistical methods in your work.

  • Distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse.

  • Guided product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and driven decisions.

  • Passionate about reproducible work and have picked up tools to this end.

  • Acted as a mentor, guiding others to make their own work better and more efficient.

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Online Marketplace and E-commerce
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Mentorship

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