Mercari is Your Marketplace. We make it super easy to sell (or buy) almost anything. We all have things we don’t use, never used or simply outgrew. But that stuff still has value. Mercari gives you the power to simply sell it, ship it, and earn some cash for it. Fashion to toys. Sporting goods to electronics. All the brands you know and love. Our mission is simple: to make selling easier than buying. And with 50M+ downloads in the U.S. and 350k+ new listings every day, we're just getting started.

Product Analytics is crucial to the success of each of our teams and enables each team to make the best data driven decisions on how to best help our millions of users. You will be an integral part of a product team as Data Scientist and guide the development of features from the initial prioritization all the way through final A|B testing. Through analysis and modeling of the quantitative data you, in close collaboration with the rest of the team, will uncover insights and develop strategies that will guide the development of the product. You ask and answer the “why?” of the product’s strategy. 

What you’ll do:

  • Perform deep dive analysis on the data and formulate product recommendations
  • Develop the A|B testing plan, monitor the progress of all tests, and conduct the final evaluation of the statistically significant impact that the test had on the relevant KPI’s
  • Establish the analytical framework for your team and take ownership of the reporting of the data to external stakeholders
  • Analyze and model the behavior of users either statistically or with machine learned models
  • Create dashboards to raise awareness of the metrics and user behavior for the rest of the team and external stakeholders
  • Actively participate in the wider analytics community within Mercari and help us continually improve our decision making capabilities

What you’ll need:

  • 5+ years of product analytics experience
  • 2+ years of experience in Python
  • BS or MS degree in computer science, mathematics, or a related field
  • Deep understanding of the statistics that govern A|B testing
  • Experience developing time series analysis
  • Expert fluency in using SQL to extract data
  • Strong skills in delivering easy-to-understand written and verbal presentations to a wide audience

Bonus Points:

  • Experience with Big Query, Looker, and Jupyter Notebooks
  • Experience developing unsupervised machine learning models

Perks:

  • Competitive ‌medical, dental, and vision insurance options
  • 401k match
  • Life & disability insurance
  • Employee Assistance Program
  • New parent paid leave
  • Rocket Lawyer legal services
  • Corporate perks and rewards
  • Time when you need it - flexible vacation days

 

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