Requirements:

Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits, and Bayesian methods
Expert level proficiency in Python and SQL
Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch
Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform, and other central functions

Nice to haves:

Experience with experimentation in a two-sided marketplace, where interference between users and finite shared supply complicates measurement
Ability to critically assess how product decisions affect platform health and growth over time
Experience with Bayesian and hierarchical approaches, particularly for low-traffic surfaces or pooling evidence across many small markets
Experience applying AI, Large Language Models, agentic AI, or automation to improve analytical productivity and decision-making effectiveness

Set the technical standard for experimentation across Product Data Science
Partner with Product, Engineering, and Data Platform teams to improve experimentation velocity without sacrificing rigor
Own the measurement approach for Viator's most complex questions
Act as the final technical authority on measurement validity
Standardize recurring analytical and experimentation processes across the function

Standardizing at Scale: Experience standardizing processes, frameworks, or methods across multiple teams
Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across various functions
Communication: Exceptional ability to explain measurement, method, and uncertainty clearly to technical and non-technical audiences
Education: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field