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Uber Scientist II Shopping Ranking Personalization 
United States, West Virginia 
647730982

Yesterday

About the Role

- - - - What the Candidate Will Do ----

  1. Analytics of product and users to generate insights
  2. Build Personalization products: eg, Content creation and evaluation
  3. User behavior understanding, eg: pricing and affordability elasticity.
  4. Offers and Promo products creation
  5. Long term value optimization
  6. XP design, setup, analysis and deep dives

- - - - Basic Qualifications ----

  1. 2-4 years of experience working in Economic space, building pricing, deals or promos product
  2. Expert in data analysis via SQL & Python foundation
  3. Clearly defined hypotheses and structures Experiment Analysis.
  4. Analytical rigor in approaching product problems.

- - - - Preferred Qualifications ----

  1. 4+ years of experience with ranking and recommender system, building personalization product
  2. Able to frame an ambiguous product space systematically.
  3. Strong product sense.
  4. Can help make data driven decisions.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .