Applied Scientist III - Causal ML & Optimization

As an Applied Scientist III at Uber Freight, you will develop and implement advanced statistical, economic, machine learning, and optimization approaches to solve complex business problems and improve performance. You will apply modeling skills and data-driven methods to enhance our core product experience and top line business metrics. You'll collaborate closely with Product, Operations, and Engineering teams to turn insights into impact.What the Candidate Will DoDevelop creative solutions and build prototypes to business problems using algorithms based on causal inference, statistics, machine learning, and optimization.Collaborate with engineering and product teams to productionize these solutions and create a lasting impact.Drive clarity and solve ambiguous, challenging business problems using data-driven approaches, with an emphasis on understanding causal relationships when applicable.Propose and guide robust frameworks of data analysis to drive business insights and inform decision-making.Contribute to establishing standard methodologies for data science, including modeling, coding, analytics, and experimentation.Leverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factors.Design product experiments and interpret results to draw detailed and impactful conclusions.Communicate findings and insights to senior management and cross-functional teams.Provide recommendations to assist quick product ideation and feature launch decisions.Build intelligent data-driven products to provide the best user experience.Basic QualificationsBachelor'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 model development and analysisProficiency in SQL for data manipulation and analysisProficiency in building and managing data pipelines for model development or analysisPreferred QualificationsMaster'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 experimentsBenefits & Compensation for U.S. EmployeesEmployees working more than 30 hours in the US at Uber Freight are eligible for benefits such as a company-sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.About Uber FreightUber 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. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.Candidate Privacy NoticeUber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.EEOCUber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.For Chicago-based roles: The salary range for this role is $124,000.00 - $152,000.00 per year.J-18808-Ljbffr