What you’ll do:
- Influence product strategy and roadmap through quantitative insights
- Execute on building and shipping products, e.g. logging, data sets, metrics, dashboards, experiments
- Collaborate with senior stakeholders to set broader strategy and roadmap
Basic Qualifications
- Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- Strong SQL skills and ability to code in either Python or R.
- Experience in experimental design and analysis (e.g., A/B and/or market-level experiments).
Preferred Qualifications:
- 6+ years of industry experience as a Data Scientist or equivalent.
- Ability to design, develop, productionize, and operate econometric models, experiments, and frameworks to assess challenging causal problems such as product incrementality and long-term value.
- Familiarity with pricing and elasticity modeling.
- Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
- Experience collaborating with very senior stakeholders (Director+) and generating insights to shape strategy.
- Familiarity with data visualization tools, such as Tableau.
For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .