Senior Data Scientist, Risk & Fraud Analytics Job at Etsy, Inc, New York, NY

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  • Etsy, Inc
  • New York, NY

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, Analytics that will partner with the Risk & Fraud team, whose focus is to develop strategies that support short and long-term fraud risk management goals as the risks facing our marketplace evolve. You will play a meaningful role in deciding how we can best assess risk and protect Etsy and its users through analysis of behavioral and transactional data. 

This is a full-time position reporting to the Manager, Risk & Fraud 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 in the Trust & Safety organization use rigorous methods to generate insights that advise product, engineering, and operations decisions on risk. 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 manage risk — to teams, to senior management, and to the community. 

What does the day-to-day look like?

  • You will work closely and collaboratively with our Risk & Fraud partners (Product, Operations and Engineering) to develop data-backed strategies to manage risk. 

  • You will define metric-focused goals around fraud prevention and employing sophisticated analyses and industry-leading measurement techniques to help the Risk & Fraud group attain these goals. 

  • You will consistently deliver clear insights while building foundational metrics, data, and tools necessary to facilitate analytical excellence in the Risk space.  

  • 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 of proven success on Analytics or Data Science teams with at least 3+ years in fraud prevention, risk mitigation or trust & safety. 

  • Proficiency with advanced analytical methods such as predictive models, model performance evaluation, A/B testing frameworks, etc.  

  • Experience employing analytics to guide risk mitigation strategy in any area like Account Security, Chargebacks/Disputes, Payments fraud, First Party fraud, etc. 

  • High proficiency with advanced analytical techniques using SQL and R and/or Python.

  • Successful track record of distilling highly complex problems into narratives that are concise, action-focused, and memorable, and expressing your recommendations with both conviction and finesse. 

  • Ability to communicate insights to senior executives verbally, visually, and in writing. 

Job Tags

Full time, Temporary work, Local area,

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