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1 month ago

Job Summary

We are looking for a Lead Data Scientist to unlock new capabilities for our customer value initiatives. In this role, you will develop nuanced views of lifetime value, identify actions and behaviors that impact value, and recommend and execute marketing and product interventions that drive increased value.

  • Minimum Qualification : Degree
  • Experience Level : Senior level
  • Experience Length : 5 years

Job Description/Requirements

Your Responsibilities:

  • Tackle complex problems inherent to a global double-sided marketplace. Deliver insights that drive changes in product strategy.

  • Deeply understand our Product, Marketing, and Trust & Safety efforts in order to build the most robust models and solve complex challenges in those areas

  • Become the authority on customer value, applying data science techniques and analytical skill to unearth deep insights into the customer journey.

  • Get hands on to deploy prototype models into production that customize product and marketing experiences

  • Evangelize advanced data science techniques within the broader Analytics, Data Science, and Economics teams and mentor others seeking to develop more advanced capabilities 


What it takes to catch our eye:

  • Ability to drive data product creation through the complete product lifecycle from building data pipelines to developing Machine Learning based proofs-of-concept and delivering scalable and end-user optimized data applications.

  • Passion for getting into the details.

  • Strong SQL skills.

  • Demonstrated ability to turn data insights into compelling narratives that influence strategic decision making

  • Experience with experimentation (A/B testing, causal inference).

  • Proficiency in one or multiple BI tools such as Looker or Tableau.

  • Strong proficiency in Python. 

  • Previous experience in a marketplace or ecommerce business.

  • A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain

  • 5+ years of experience in data science, machine learning, or a related role

  • Experience building insights or models related to user segmentation, cohort analyses, mix modeling, fraud detection models, or  similar use cases

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