Uber Freight

Applied Scientist III - Shipper Pricing

San Francisco, CA 94158, United States · Mid · Full-time

Sponsorship not specified$150k-$182kDetected 6 days ago

PythonAlgorithmsSQLMachine LearningSparkData ScienceStatisticsResearchCommunication

About the role

Prototype and evaluate solutions using statistical analysis and simulation.
Leverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factors.
Establish standard methodologies for data science, including modeling, coding, analytics, and experimentation.

Develop creative algorithms for optimally trading off gross revenue and net revenue when bidding on shipper freight in real time across a variety of settings, e.g., open auctions, sealed auctions, reverse waterfall auctions, etc.
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these solutions.
You will collaborate closely with Product, Operations, Engineering, and other scientists in the department on a daily basis.

Proficiency in designing, launching, and analyzing A/B tests or other types of online experiments
Expertise in observational causal inference or statistical analysis
Proficiency in Python, SQL and Spark

Track record of translating ambiguous business problems into technical solutions
About Uber Freight
Uber Freight helps companies move goods more reliably and efficiently.
We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions.
Learn more at www.uberfreight.com.
Uber Freight is committed to protecting the privacy of our candidates.
We collect and process personal data in accordance with applicable data protection laws.
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer.

This listing is sourced directly from Uber Freight's careers page and normalized into a canonical job model.