[Remote] Applied Scientist III

Note: The job is a remote job and is open to candidates in USA. Uber Freight is a company that helps organizations move goods more reliably and efficiently by leveraging technology and real-time data. The Applied Scientist III role involves developing and implementing advanced statistical, economic, machine learning, and optimization approaches to solve complex business problems and improve performance, while collaborating closely with cross-functional teams.ResponsibilitiesDevelop creative solutions and build prototypes to business problems using algorithms based on causal inference, statistics, machine learning, and optimizationCollaborate with engineering and product teams to productionize these solutions and create a lasting impactDrive clarity and solve ambiguous, challenging business problems using data-driven approaches, with an emphasis on understanding causal relationships when applicablePropose and guide robust frameworks of data analysis to drive business insights and inform decision-makingContribute to establishing standard methodologies for data science, including modeling, coding, analytics, and experimentationLeverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factorsDesign product experiments and interpret results to draw detailed and impactful conclusionsCommunicate findings and insights to senior management and cross-functional teamsProvide recommendations to assist quick product ideation and feature launch decisionsBuild intelligent data-driven products to provide the best user experienceSkillsBachelor's degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or another related field3 years of related experienceExpertise in observational causal inference, econometric, and statistical modelsDemonstrated proficiency in programming languages like Python or R for purposes of model development and analysisProficiency in SQL for data manipulation and analysisProficiency in building and managing data pipelines for purposes of model development or analysisMaster's or Ph.D. in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or a related fieldExpertise in time series analysis and forecastingExperience working on pricing algorithms in a production environmentProficiency in designing, launching, and analyzing A/B tests or other types of online experimentsBenefitsCompany sponsored health planDental and vision benefits401k matchFinancial and mental wellness benefitsParental leaveShort- and long-term disability coverageLife insurancePerformance or sales incentive bonus programParticipation in Uber Freight equity awardsCompany OverviewUber Freight is the logistics arm of Uber that helps truck drivers connect with shipping companies. It is a sub-organization of Uber. It was founded in 2017, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.uberfreight.com.Company H1B SponsorshipUber Freight has a track record of offering H1B sponsorships, with 2 in 2026, 78 in 2025, 33 in 2024, 103 in 2023, 9 in 2022. Please note that this does not guarantee sponsorship for this specific role.