This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
End-to-end product development from data analytics, modeling and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.
Job Responsibility:
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 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
Requirements:
Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
2+ years of industry experience as an Applied or Data Scientist or equivalent (not required 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 key performance indicators
Nice to have:
Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields
Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience in leading key technical projects and substantially influencing the scope and output of others
Thought leadership to drive multi-functional projects from concept to production
Experience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform
Experience with exploratory data analysis, statistical analysis and model development
Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala