Staff Data Scientist, Guest Journey

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Requirements:

• 9+ years of relevant industry experience.
• Master’s degree or PhD in a quantitative field.
• Strong fluency in Python or R for hands-on work.
• Proficiency in SQL for advanced data analysis.
• Experience with causal inference and machine learning techniques.
• Experience in product-focused, user-facing, or multi-sided platform settings.
• Ability to thrive in collaborative and independent work environments.
• Effective communication skills for audiences of varying technical levels.

Responsibilities:

• Specify and estimate models to understand Guest preferences and responses to personalized merchandising and search results.
• Deliver data and insights to aid in progressing Guests from search through booking.
• Design strategies for investigation and validation of product and recommendation strategies.
• Mine internal datasets to understand user behavior and develop predictive models.
• Utilize causal inference techniques to quantify product impact on customer journeys.
• Collaborate with product and engineering teams to integrate data insights into personalization initiatives.
• Engage with stakeholders to align data-driven solutions with business objectives.