Uber

Data Scientist

Job description

What the Candidate Will Need / Bonus Points



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


  • -
    Build scalable analytical frameworks to support product analytics for Uber's Risk Experience and Governance Platfo
  • rmOwn new product experimentation including plan creation, roll-out, and monitori
  • ngBe an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issu
  • esDevelop and track metrics and reporting functions to measure and monitor risk products on our platfo
  • rmEffectively and proactively communicate insights and drive projects to drive towards team goa
  • lsProactively seek out opportunities to build new solutions to tackle Risk Experience and Governance Platfo
  • rmCreate and drive data quality standards and frameworks to ensure inclusion into pipeline engineering effor


ts---- Basic Qualifications --


  • --
    2+ years of experience in a data-focused role such as product analytics, business analytics, business operations, or data scie
  • nceEducation in Engineering, Computer Science, Math, Economics, Statistics or equivalent experie
  • nceExperience in modern programming languages (Python) or statistical languages (S
  • QL)Past experience with a Product / Tech company serving millions of customers on multiple platforms and countr


ies---- Preferred Qualifications -


  • ---
    SQL mast
    ery. Write efficient and complex code in
  • SQLExperience in Python/R and experimentation, A/B testing, and statistical model
  • lingProven ability to handle and visualise large datasets, explore and utilize raw data f
  • eedsLove of data - you just go get the data you need and turn it into an insightful st
  • ory.A well organized, structured approach to problem-sol
  • vingStrong sense of ownership, accountability, and entrepreneurial sp
  • iritGreat communicator, problem-solver & confident in decision ma
  • kingIndependent & autonomous, while still a strong team
  • mateEnthusiastic, self-starting and thrives in changing, agile environm
  • entsLiaise with Product and engineering counterparts to launch and impact new prod


ucts

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