Senior Scientist - Marketplace Intelligence & Optimization

Uber; New York (NY); On-site; USD 190,000 - 211,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber is seeking a data scientist to lead end-to-end product development from data, analytics, modeling, and experimentation perspectives in New York City.

You will prototype machine learning, optimization, causal inference, and marketplace models to deliver data-driven insights and actionable recommendations. Strong collaboration with product and growth teams is required, with on-site presence in NYC.

Qualifications

• Ph.D., M.S. or Bachelor's degree in Economics, Statistics, 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. Python, R, Java, Ruby, Scala/Spark or Perl)
• Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
• Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
• Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of KPIs

Responsibilities

• Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.
• Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
• Develop data-driven business insights and work with cross-functional customers to find opportunities and prioritize product, growth, and optimization initiatives.
• Design and analyze experiments, and present results that provide actionable recommendations.
• Orient the 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.
• Own the product development cycle end to end from data and science aspects.

Skills

Python

Machine Learning

Statistics

Data Visualization

Experimentation

SQL

Communication

Education

Ph.D./M.S./Bachelor's in a quantitative field

Job description

Uber is seeking a data scientist to lead end-to-end product development from data, analytics, modeling, and experimentation perspectives in New York City.

You will prototype machine learning, optimization, causal inference, and marketplace models to deliver data-driven insights and actionable recommendations. Strong collaboration with product and growth teams is required, with on-site presence in NYC.