Principal Product Data Scientist
Core
Define and lead the Product Data Science strategy, driving advanced analytics, AI, and experimentation to optimize product roadmaps and customer experiences.
Role type
Principal Product Data Scientist (Strategy & Technical Leadership)
Builds
Next-generation data science tooling, platforms, frameworks, and high-impact AI use cases (Agentic AI, LLMs) from POC to production.
Domain
Travel technology, two-sided marketplaces, e-commerce
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, (quasi) experimentation, multi-arm bandit, machine learning (Regression, Classification, Clustering), causal inference, uplift modeling, customer segmentation, predictive modeling, product metrics definition, team mentoring
Preferred skills
Applied AI (NLP, LLMs, Agentic AI), simulation building, qualitative validation methods, two-sided marketplace experience
Technologies
Python, SQL, Agentic AI, LLMs
Responsibilities
Lead Data Science strategy and technical direction; advise senior leadership on data-driven decisions; develop and scale data science tooling; champion experimentation best practices; own complex analytical projects; mentor data science teams; develop predictive models for product optimization.
Seniority
Principal, strategy & mentorship
