Applied Scientist III

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.

Requirements

• 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 programming languages like Python or R for purposes of model development and analysis
• Proficiency in SQL for data manipulation and analysis
• Proficiency in building and managing data pipelines for purposes of model development or analysis
• Master's or Ph.D. in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or a related field
• Expertise in time series analysis and forecasting
• Experience working on pricing algorithms in a production environment
• Proficiency in designing, launching, and analyzing A/B tests or other types of online experiments
• Benefits & Compensation for U.S. Employees
• About Uber Freight
• Candidate Privacy Notice
• Uber 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 .
• EEOC
• For Chicago-based roles: The salary range for this role is $124,000.00 - $152,000.00 per year

Benefits

Additional Information

Schedule: Full Time Employment Job Type: Hybrid Salary Type: Salary Req #: 2520

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