Senior Scientist - Matching, Membership, Maps, Experimentation

About This Role

This Senior Scientist role involves solving complex business problems using data-driven approaches, including ML, Optimization, and Causal Inference. The position will develop and implement statistical/econometric methodologies and provide data-driven insights to cross-functional teams.

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 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

• 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

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.)

Nice to Have

• Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields
• Excellent communication and collaboration skills
• 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

Skills

* Required skills

Benefits