Data Scientist - Community Operations

Uber Overview

Community Operations, Global Community Operations in San Francisco, CA

Do you have a deep quantitative background? Do you believe data enables to build better products and plays a key role in both strategic and operational decisions? This is the job for you.

Uber’s Community Operations organization is responsible for providing customer support to the rider and driver-partner community. As a Data Scientist in Community Operations, you will play a central role in shaping and steering strategic, operational and engineering decisions. Whether it’s collaborating with leadership to create, implement, or evaluate success metrics, streamlining our customer experience or working “ahead of the curve” to determine the next big thing, you will provide the intuition and execution behind some of the most exciting questions being asked at Uber.

RESPONSIBILITIES

  • Leverage data to perform intensive analysis to drive decision making for Community Operations
  • Estimate & own the ROI analyses of various customer-centric initiatives
  • Generate and execute on ideas for exploratory analysis to shape future roadmap and provide recommendations for actions
  • Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends
  • Contribute to development of existing staffing models (e.g., Erlang B/C models) and modify them for our needs
  • Define key success metrics and create dashboards / reports to communicate results and monitor KPIs
  • Present findings to senior management to drive business and roadmap decisions
  • Dig deep into product and operational issues to understand and solve for root causes of these issues
  • Collaborate with cross-functional team across product, engineering, design, finance and operations

QUALIFICATIONS

  • 2+ years of quantitative analysis experience (preferably in an engineering or product role)
  • BS/MS in Statistics, Computer Science, Math, Economics, Finance or other quantitative field
  • Comfortable writing code and contributing to a code base in Python or R
  • Proficient in writing and understanding complex SQL; experience working with large data sets
  • Advanced knowledge of statistical methods (with emphasis on knowledge of various distributions like Poisson, Gamma, Beta, etc.)
  • Strategic mindset – you’re comfortable thinking a few steps ahead of where the team is at now
  • A high bar across the board – from your own contributions to the people you work with to the products you work on
  • A “driver” personality with amazing follow through – you aggressively tackle your work and love the responsibility of being individually empowered
  • Grittiness – you never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away
  • Strong communication and organization skills
  • True passion for Uber’s mission and the company’s hybrid technology / operations nature

Meet Some of Uber's Employees

Brian M.

Community Management Specialist

Brian makes sure that every Uber user has an amazing experience. He troubleshoots roadblocks to customer happiness and also does outreach to attract new Uber users.

Swathy P.

Operations & Logistics Manager

Swathy is part of the team that is the driving force behind Uber’s transportation options. She helps sign up the drivers, makes sure the vehicles run smoothly, and tackles any logistical bumps along the road.


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