Applied Scientist
Legal Data & Economics
Posted on 2/13/2024
INACTIVE
Uber

10,001+ employees

Ride-sharing app
Company Overview
Uber's mission is to reimagine the way the world moves for the better. The company operates a ride-sharing platform that provides more than 15 million rides each day.
Consumer Software
Data & Analytics

Company Stage

N/A

Total Funding

$24.8B

Founded

2009

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

3%

2 year growth

1%
Locations
Washington, USA • San Francisco, CA, USA • Chicago, IL, USA • New York, NY...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
SQL
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • Professional experience or demonstrated curiosity about quantitative analysis of legal, economic, or policy issues
  • Experience using and picking up data science tools to query (e.g., SQL) and analyze (e.g., Python, R) data at scale
  • Ability to collaborate and communicate well: building and managing relationships with clients, communicating with non-technical audiences, and collaborating with cross-functional partners
  • Ability to own and drive projects independently: balancing excellence and attention to detail with the need to prioritize work and deliver within tight deadlines
Responsibilities
  • Build a deep, nuanced understanding of Uber’s large and unique data as well as its platform and communicate this understanding to lawyers, regulators, and partners
  • Propose, design, and implement data analyses, data pipelines, and statistical models to advise, enrich, and advance the work of our Legal Team and other teams across the company
  • Evaluate and quantify risk using a variety of quantitative methods for the Legal Team
  • Work in an inclusive and diverse team of data scientists who will support your development as a data scientist and who, in turn, you will influence and shape
Desired Qualifications
  • Professional experience in data science and economics in a legal context
  • Professional experience in legal, economic, or policy setting
  • Experience using Presto to query and Python to analyze data at scale