Uber Freight is looking to solve complex business problems and improve performance by developing and implementing advanced machine learning, statistical, economic, and optimization approaches.
Requirements
- 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
- Proficiency in designing, launching, and analyzing A/B tests or other types of online experiments
- Strong knowledge of experimental design and analysis
- Expertise in observational causal inference or statistical analysis
- Ability to use a programming language like Python or R to work efficiently at scale with large data sets
Responsibilities
- Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, causal inference, statistics, 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.
Other
- Bachelor’s degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or another related field
- 3 years of related experience
- Master’s or Ph.D. in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or a related field
- Experience working on fraud, recommendation or dynamic pricing algorithms in a production environment
- 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
