Sr Scientist – Mobility Matching Science
| Company | Uber |
|---|---|
| Location | Toronto, ON, Canada, San Francisco, CA, USA |
| Salary | $183000 – $203000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- Ph.D., M.S. or Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- Minimum 1 year of industry experience as an Applied or Data Scientist or equivalent.
- Proficient in Python/R to able to work efficiently at scale with large datasets.
- Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff etc).
- Experience with exploratory data analysis, statistical analysis and testing and model development.
Responsibilities
- Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives.
- Design and analyze experiments, communicating results that draw detailed and actionable conclusions.
- Analyze and contribute to development of optimization algos and ML models for use in mobility matching.
- Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product.
Preferred Qualifications
- Ability to work in self-guided manner.
- Good communication skills across technical, non-technical and executive audiences.
- Have a growth mindset; love solving ambiguous, ambitious and impactful problems.
- Experience in optimization and/or algorithm development.
- Experience with dashboard / data visualization tools (i.e Tableau, Mixpanel, Looker or similar).
- Experience working on online experiments.