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Senior Manager, Data Scientist - Growth Marketing

Job in Seattle, King County, Washington, 98101, USA
Listing for: Expedia Group
Full Time position
Listed on 2026-09-07
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Data Scientist, AI Engineer (Applied/Software)
Job Description & How to Apply Below

Senior Manager, Data Scientist
- Growth Marketing

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.

Experience &

Qualifications:

  • 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.

Functional / Technical Skills

  • 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.

In this role, you will:

People Leadership & Team Development

  • 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.

Strategy & Handling Ambiguity

  • 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 into manageable work streams for the team.
  • Makes independent judgment calls on scope, method, and level of effort with limited direction; solves for the underlying objective, not the literal ask.
  • Anticipates emerging measurement and performance questions before they are raised and proactively shapes the team's agenda around them.

Thought Leadership — Cross-Channel Performance & Innovative Measurement

  • Provides thought leadership on cross-channel performance drivers across paid social, programmatic display & video, CTV, digital audio, and paid app, spanning BEX, HCOM, and VRBO.
  • Advances the measurement toolkit — incrementality, causal impact, geo experiments, media mix / multi-touch approaches, uncertainty-aware and multi-armed bandit…
Position Requirements
10+ Years work experience
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