Senior ML Scientist, CRM Personalization & Growth

Expedia

Seattle (WA)

Sur place

USD 173 000 - 243 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Medical benefits
Paid time off
Wellness & travel reimbursement
Travel discounts

Résumé du poste

Expedia Group is seeking a senior ML-focused scientist to define the ML roadmap for CRM personalization and lead production systems at scale. You will collaborate with marketing, analytics, and engineering to deliver impact through data-driven optimization and responsible experimentation.

You will mentor scientists, advance AI tooling adoption, and drive reproducible, rigorous analysis across large-scale campaigns for travelers worldwide.

Qualifications

  • Master’s or PhD in OR/Math/Stats/CS or related field.
  • 6+ years (Master’s) or 4+ years (PhD) applying ML to real-world problems.
  • Proficiency across core ML methods with depth in at least one area.
  • Strong experimentation and statistics fundamentals: designing rigorous experiments.
  • Fluency in Python, SQL, and distributed data processing (Spark/Databricks).
  • Leader of cross-functional ML projects with clear communication.

Responsabilités

  • Define the ML science roadmap with milestones and measurable outcomes.
  • Build and own production ML systems from problem framing to deployment.
  • Partner with marketing, analytics, and engineering for reliable systems.
  • Evolve experimentation and measurement to reduce uncertainty in ML decisions.
  • Tell the data story with clear findings and visualizations for technical and business audiences.
  • Mentor scientists, promote best practices, and drive standardization.

Connaissances

Python
SQL
ML methods
Experimentation

Formation

Master’s/PhD in OR/Math/Stats/CS

Outils

Spark/Databricks

Description du poste

Expedia Group is seeking a senior ML-focused scientist to define the ML roadmap for CRM personalization and lead production systems at scale. You will collaborate with marketing, analytics, and engineering to deliver impact through data-driven optimization and responsible experimentation.

You will mentor scientists, advance AI tooling adoption, and drive reproducible, rigorous analysis across large-scale campaigns for travelers worldwide.

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