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2 Days ago

Data Scientist 1

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Information Technology
Full-Time
Uber

Overview

About The Role

Communication Platform enables all the messages (SMS OTP, Whatsapp, Notifications, Voice Call, Chat) among our users. This role will help improve our communications products in improving the Deliverability, reliability and reach of the messages by optimising the cost at the same time. Improving effieciency of communications among our users will helop improve trip conversion and in turn revenue for the organization.

What The Candidate Will Need / Bonus Points

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

  • Build scalable analytical frameworks to support product analytics for Uber's Communications Platform
  • Own new product experimentation including plan creation, roll-out, and monitoring
  • Be 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 issues
  • Develop and track metrics and reporting functions to measure and monitor products performance on our platform
  • Effectively and proactively communicate insights and drive projects to drive towards team goals
  • Proactively seek out opportunities to build new solutions to tackle challenges
  • Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

Basic Qualifications

  • 2+ years of experience (Bachelor) OR 1+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
  • Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
  • Experience in programming and/or query languages
  • Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries

Preferred Qualifications

  • SQL mastery. Write efficient and complex code in SQL
  • Experience in Python/R and experimentation, A/B testing, and statistical modelling
  • Experience in Payments or Compliance with a Product / Tech company
  • Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
  • Love of data - you just go get the data you need and turn it into an insightful story.
  • A well-organized, structured approach to problem-solving
  • Strong sense of ownership, accountability, and entrepreneurial spirit
  • Great communicator, problem-solver & confident in decision making
  • Independent & autonomous, while still a strong teammate
  • Enthusiastic, self-starting and thrives in changing, agile environments
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