Senior Scientist, Marketplace Analytics & Optimization

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

Benefits offered by this job

401(k) plan

Bonus program

Equity awards

Job summary

Uber is seeking a Senior Scientist, Marketplace (Multiple Teams) in New York to lead end-to-end product development from a data, analytics, modeling, and experimentation perspective. You will formulate ambiguous business problems, prototype ML, optimization, causal-inference, and marketplace dynamics models, and design experiments.

You will work across teams driving data-driven decision making for delivery marketplace, maps, and experimentation platforms, building logging, metrics, and tools to

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 (e.g. 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 key performance indicators

Responsibilities

• Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and 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 recommend prioritization of product, growth, and optimization initiatives.
• Design and analyze experiments, 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.
• Owning the product development cycle end-to-end from data and science aspects.

Skills

Python

SQL

R

Java

Scala/Spark

Perl

Education

Ph.D., MS, or Bachelor's in quantitative field

Job description

Uber is seeking a Senior Scientist, Marketplace (Multiple Teams) in New York to lead end-to-end product development from a data, analytics, modeling, and experimentation perspective. You will formulate ambiguous business problems, prototype ML, optimization, causal-inference, and marketplace dynamics models, and design experiments.

You will work across teams driving data-driven decision making for delivery marketplace, maps, and experimentation platforms, building logging, metrics, and tools to