About the Role
In this role, you will use your quantitative skills to generate insights, develop new models, design metrics and run experiments. Uber operates in a constantly-evolving and competitive environment, and our success requires deep understanding of our marketplace and the ability to build products that scale on a global footprint. You will work on high visibility, high impact projects which have significant impact on Uber's P+L.
What You Will Do
- Work with a cross-functional team to build cutting-edge marketplace products.
- Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities.
- Work alongside engineers to design and implement production solutions.
- Design and analyze product experiments, and communicate findings and conclusions with stakeholders.
- - - - Basic Qualifications ----
- PhD., M.S. or Bachelors degree in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields.
- Knowledge of experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, and model development.
- Ability to use Python to work efficiently at scale with large data sets.
- Proficiency in SQL.
- - - - Preferred Qualifications ----
- 3+ years of industry experience.
- Experience in algorithm development and prototyping.
- Experience designing reinforcement learning or other advanced ML algorithms.
- Experience performing causal inference and other advanced econometric and statistical techniques.
- Experience productionizing algorithms for real-time systems.
- Outstanding communication and presentation skills.
For New York, NY-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 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 .