Note: The job is a remote job and is open to candidates in USA. Uber Freight is a company that helps businesses move goods more efficiently using advanced technology and data. As an Applied Scientist III, you will develop and implement statistical and machine learning approaches to solve complex business problems and enhance product performance, while collaborating with various teams to drive impactful insights.

Responsibilities

• 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

Skills

• 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

• 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
• Performance or sales incentive bonus program
• Participation in Uber Freight equity awards

Company Overview

Company H1B Sponsorship