FAQs
What is the primary focus of the Staff Scientist role in the Direct & Connect team at Uber?
The primary focus of the Staff Scientist role is to drive the scientific strategy for building a healthy, efficient, and scalable three-sided marketplace for Uber Direct & Connect, which involves analyzing marketplace dynamics, designing incentive systems, and developing models and algorithms for pricing, matching, and fulfillment efficiency.
What qualifications are required for this position?
The position requires a Ph.D., M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field, along with a minimum of 2 years of industry experience in a quantitative role, such as an Applied Scientist or Data Scientist.
Is there a preference for candidates with specific experience?
Yes, candidates with a Ph.D. and 6+ years of industry experience, deep expertise in pricing and marketplace modeling, and a strong background in experimental design and causal inference techniques are preferred.
What programming languages should a candidate be proficient in?
Candidates should have proficiency in Python or R for data analysis, modeling, and prototyping.
What kind of analytical techniques will be utilized in this role?
The role will leverage advanced analytical techniques such as machine learning, statistical modeling, causal inference, funnel analysis, and deep-dive analytics.
Will the Staff Scientist be responsible for mentoring others?
Yes, the Staff Scientist will provide technical mentorship and thought leadership, raising the bar for scientific rigor and championing best practices in methodologies.
What is the salary range for this position?
The base salary range for this role is USD $212,000 - $235,500 per year, depending on the location (New York, NY or San Francisco, CA).
Are there opportunities for bonuses or equity awards?
Yes, for all US locations, employees will be eligible to participate in Uber's bonus program and may be offered equity awards and other types of compensation.
Will the candidate have the opportunity to work with cross-functional teams?
Yes, the candidate will collaborate closely with Product, Engineering, and Operations teams to drive a roadmap of high-impact initiatives.
What are the communication expectations for this role?
Excellent written and verbal communication skills are required, as the candidate must clearly explain technical concepts to cross-functional stakeholders and drive alignment across teams.