Expoint - all jobs in one place

המקום בו המומחים והחברות הטובות ביותר נפגשים

Limitless High-tech career opportunities - Expoint

Uber Manager II Tech Science 
United States, West Virginia 
47668204

24.06.2024
What You’ll Do
  • Lead scientist to leverage large and sophisticated datasets to derive proactive actionable insights that inform strategic decisions and improvements in key revenue generating optimization engines at Uber
  • Design and execute product experiments and interpret the results to draw detailed and actionable conclusions
  • Lead scientists to build statistical, optimization, and machine learning models for strategic insights, simulations, and deeper understanding of marketplace performance
  • ​​Collaborate with various teams to identify key business opportunities and challenges, and develop data-driven solutions
  • Mentor junior team members, encouraging a culture of growth and development
  • Present findings to business and executive audiences
Basic Qualifications
  • Ph.D. or M.S. in Statistics, Mathematics, or related fields
  • 4+ years of industry experience as a Data Scientist or equivalent.
  • 3+ years of management or tech lead experience.
  • Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, and analytics.
  • Experience in experimental design and analysis.
  • Experience with exploratory data analysis, statistical analysis and testing, causal analysis
  • Proficiency in SQL.
  • Very strong communication skills across technical, non-technical, and executive audiences.
Preferred Qualifications
  • PhD preferred
  • 6+ years of industry experience as a Data Scientist or equivalent.
  • Experience in large scale web applications and marketplaces

For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .