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Scientist II, Marketplace

United States, New York · Job Posted February 17, 2026
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Job Description

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
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