Senior Scientist - Marketplace (Multiple Teams)

What you'll do

• Solve business problems using machine learning, optimization, and causal inference; develop statistical and econometric methods.
• Design and analyze experiments, define success metrics, and communicate actionable findings to cross-functional partners.
• Drive end-to-end, data-informed product development, including logging, metrics, visualization, and diagnostic tools.

What they ask for

• Degree in Economics, Statistics, Machine Learning, Operations Research, or another quantitative field.
• 4+ years of industry experience as an Applied or Data Scientist or equivalent, or 2+ years with a Ph.D.
• Programming experience and proficiency with SQL; ability to use Python or similar technologies with large datasets and to prototype algorithms and models.
• Ability to design experiments and interpret results across key performance indicators.

Nice to have

• Ph.D. in a quantitative field; experience in large-scale marketplace algorithms, membership or consumer growth, or experimentation platforms.
• For AM&D roles, prior experience in autonomous mobility or delivery domains.

Pay

USD $190,000 per year - USD $211,000 per year (base salary; New York City, NY-based roles); USD $190,000 per year - USD $211,000 per year (base salary; San Francisco, CA-based roles)

Tools

Python, R, Java, Ruby, Scala/Spark, Perl, SQL, Go

AI focus

Applies machine learning and optimization to marketplace problems, alongside causal inference, statistical modeling, and experimentation.