What You Will Do
- Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
- Build statistical, optimization, and machine learning models for strategic insights as well as in production enhancements to the membership program.
- Design and analyze experiments, present results that provide actionable recommendations.
- Orient our teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
- Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.
- - - - Basic Qualifications ----
- Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).
- Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl)
- Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
- Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
- Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators
- - - - Preferred Qualifications ----
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
- Experience leading key technical projects and substantially influencing the scope and output of others
- Knowledge of experimental design and analysis or experience with exploratory data analysis and model development
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team
- Solid theoretical and applied ML skills and a strong background in mathematics and stats
- Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
- Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference
- Experience of working with large dataset using Spark, Hive, HDFS is desired
- Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
- Thought leadership to drive multi-functional projects from concept to production
For San Francisco, CA-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 .