What You'll Do
- 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
Basic Qualifications
- PhD, MS, or Bachelors degree in Operations Research, Statistics, Economics or other quantitative fields
- 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
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
For Canada-based roles: The base salary range for this role is CAD$136,000 per year - CAD$151,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.