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Full-Time

Manager II

Applied Science, Rides Marketplace

Posted on 3/22/2024

Uber

Uber

10,001+ employees

Rides, deliveries, and freight services platform

Food & Agriculture
Data & Analytics
Automotive & Transportation
Consumer Software
Crypto & Web3
Consumer Goods

Junior, Mid, Senior

San Francisco, CA, USA

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Python
SQL
Data Analysis
Requirements
  • Ph.D., M.S., or Bachelors degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
  • Minimum 3 years of management or tech lead experience.
  • Knowledge of underlying mathematical foundations of economics, statistics, machine learning, optimization, and analytics.
  • Experience in experimental design and analysis.
  • Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
  • Ability to use Python to work efficiently at scale with large data sets.
  • Proficiency in SQL.
Responsibilities
  • Lead teams that build statistical, optimization, and machine learning models for a range of applications.
  • Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
  • Use data to understand product performance and to identify opportunities.
  • Present findings to senior management to advise business decisions.
  • Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

At Uber, employees are at the forefront of redefining mobility and logistics services, working with cutting-edge technology to streamline the transportation of both people and goods. This company fosters a dynamic work environment that supports flexible earning opportunities and continuous innovation in essential services. The commitment to constantly reimagine and reinvent its services makes it a leader in the industry, providing an invigorating setting for professionals who thrive in fast-paced and evolving workspaces.

Company Stage

IPO

Total Funding

$24.8B

Headquarters

San Francisco, California

Founded

2009

Growth & Insights
Headcount

6 month growth

9%

1 year growth

16%

2 year growth

25%
INACTIVE