Data Scientist, Growth Marketing

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

A senior data science leader who sets and owns the analytics and measurement strategy for SPP, leads a team of data scientists, and provides thought leadership on the most complex, ambiguous problems facing the channel — cross-channel performance drivers, innovative measurement, and automation of data-heavy recurring processes. Operates with a high degree of autonomy, defines the problems worth solving rather than executing pre-scoped tasks, and regularly influences stakeholders through VP/SVP level.

Directly manages, coaches, and develops a team of ~3 data scientists (each one level junior), setting technical standards and prioritizing the team’s roadmap against business impact.

• PhD, Masters, or Bachelors, preferably in a quantitative or scientific field (Mathematics, Statistics, Economics, Computer Science, Physics, or similar).
• 7+ years in data science / advanced analytics, including 2+ years directly managing or formally leading data scientists or analysts. Comparable leadership experience will be considered in lieu of formal management tenure.
• Proven track record of delivering data-driven insights and measurement solutions that changed business decisions or drove performance improvement, across multiple domains and senior stakeholders.
• Advanced, production-grade experience with Python, R, or SQL for analysis, transformation, modeling, and visualization of large datasets.
• Preferred: marketing, media, or performance-marketing measurement experience (paid social, programmatic, CTV, digital audio, paid app), and familiarity with incrementality and causal measurement.

• People leadership: coaching, performance management, hiring, career development, and technical mentorship.
• Strategic thinking and the ability to operate and lead a team through ambiguity.
• Advanced statistics: frequentist and Bayesian methods, experimental design, regression, causal inference.
• Machine learning theory and applied practice.
• Data engineering fundamentals: pipelines, automation, scalable dashboards.
• Stakeholder influence and communication at senior (Director / VP / SVP) levels.
• Storytelling and data visualization for both technical and non-technical audiences.
• Strong business acumen and domain judgment.

• Directly manages a team of ~3 data scientists (each one level junior), owning hiring, onboarding, performance management, and career development.
• Sets technical standards, review practices, and ways of working for the team; establishes code review, reproducibility, and documentation norms.
• Coaches team members on statistical technique, modeling, experimentation, and stakeholder communication, and creates development paths that stretch each individual.
• Allocates team capacity against a prioritized roadmap, balancing strategic bets, BAU measurement, and stakeholder demand; protects the team from low-value order-taking.
• Builds a collaborative, transparent, and inclusive team culture; represents the team’s work and needs to senior leadership.

• Defines the analytics and measurement strategy for SPP and translates ambiguous, loosely-defined business goals into structured analytical programs with clear objectives and phased delivery.
• Frames complex, open-ended business problems as tractable analytics problems and sequences them…