Senior Machine Learning Scientist (CRM Marketing)

TL;DR

Senior Machine Learning Scientist (CRM Marketing): Building and optimizing ML systems for personalized CRM offers to power retention, reactivation, and growth campaigns with an accent on campaign targeting and ML-driven personalization at scale. Focus on leading the full lifecycle of production ML systems, evolving experimentation strategies, and defining the technical roadmap for personalized engagement.

Location: Seattle, WA, USA (Flexible work model)

Salary: $173,000 – $242,500

Company

hirify.global is a global travel technology platform powering a family of brands including Expedia, Hotels.com, and Vrbo to make travel smoother and more memorable.

What you will do

• Define the ML science roadmap for CRM personalization, translating vision into concrete projects with measurable outcomes.
• Lead the full lifecycle of production ML systems, from problem framing and metric design to deployment and iteration.
• Partner with marketing, analytics, and engineering teams to deliver reliable, scalable production systems.
• Strengthen experimentation and measurement frameworks to validate hypotheses and quantify ML impact.
• Communicate technical findings and trade-offs to both technical and business audiences through data narratives.
• Mentor scientists via code reviews and champion standards for scientific rigor and reproducibility.

Requirements

• Master's or PhD in Operations Research, Applied Mathematics, Statistics, Computer Science, or a related quantitative field.
• 4-6+ years of experience applying machine learning to real-world problems with a track record of production delivery.
• Proficiency in Python, SQL, and distributed data processing using Spark or Databricks.
• Strong foundations in statistics and designing rigorous experiments (A/B testing and beyond).
• Must be based in the United States (Seattle, WA).
• Experience leading cross-functional ML projects and aligning stakeholders on success metrics.

Nice to have

• Knowledge of constrained optimization, operations research, or budget allocation methods.
• Deep understanding of causal inference and measuring incremental effects in real-world settings.
• Experience with CRM personalization, loyalty marketing, or customer retention systems.
• Experience with deep learning, reinforcement learning, or multi-armed bandits.
• Familiarity with ML production practices such as CI/CD for ML, model monitoring, and automated pipelines.

Culture & Benefits

• Comprehensive benefits package including medical, dental, and vision insurance.
• Generous time-off, parental leave, and a flexible work model.
• Exciting travel perks and travel reimbursement.
• Career development resources and professional growth opportunities.
• Inclusive culture that celebrates diversity and open collaboration.