AppliedScientistIII

Schedule: Full Time Employment Job Type: Hybrid Salary Type: Salary Req #: 2520 About the Role 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 Do Develop 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 Qualifications Bachelor’s degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or another related field 3 years of related experience Expertise in observational causal inference, econometric, and statistical models Demonstrated proficiency in pr