Senior Data Scientist, Product Analytics

As a Senior Data Scientist on the Localization product within Content Product Analytics, you will shape data-driven decisions that affect traveler engagement and booking conversion. You will partner with cross-functional teams to translate multilingual insights into product strategy, and you will lead experimentation and modeling at scale. You’ll design advanced ML solutions and run A/B/causal experiments to measure localization impact, while guiding data-informed roadmap priority. This role combines production-scale analytics, storytelling for executives, and mentorship to elevate the team.

• exciting travel perks
• generous time-off
• parential leave
• flexible work model
• career development resources

• Develop and deploy advanced ML models to solve business challenges and guide decisions
• Design and lead complex A/B and causal experiments; own localization experimentation framework
• Translate multilingual data insights into compelling narratives for product, engineering, and leadership
• Write production-quality SQL and Python to build scalable analytics pipelines and dashboards
• Collaborate to architect end-to-end data pipelines and intelligent systems at production scale
• Mentor data scientists and engineers to foster technical excellence and continuous learning
• Integrate AI/ML-enabled solutions ensuring reliability, ethics, and scalability
• Co-own metric frameworks and decision workflows with Product and business leaders

• 8+ years in data science, analytics, or applied science (6+ years with MS/PhD)
• Expert in statistical modeling, A/B testing, quasi-experiments, and causal inference methods
• Hands-on ML/NLP model development at production scale (text classification, semantic similarity, quality scoring)
• Advanced SQL and Python; production-quality code
• Experience with large-scale unstructured text data and LLMs (prompt design, evaluation, RAG)
• Mentorship experience and ability to influence product and business strategy through data and storytelling
• Experience with visualization and scalable dashboards
• Independent contributor with cross-functional project management

• strong storytelling and communication
• cross-functional collaboration
• mentorship and coaching
• SQL
• Python
• Machine Learning