Senior Data Scientist

Company: arrivia

Location: Scottsdale (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-03

About this role

*arrivia* is hiring a Senior Data Scientist to bring rigorous experimentation, predictive modeling, and decision science to our highest-value business problems. This is a new role on our growing data team, reporting to the VP of Data and AI Platform.

Your focus starts with marketing technology and marketing effectiveness, including funnel measurement, attribution, audience intelligence, personalization, and experimentation. From there, your work extends into enterprise priorities across travel products, customer experience, finance, and operations.

This is a senior individual contributor role with real autonomy. You will own a prioritized backlog from problem framing through deployment, decide which methods fit the question, and say plainly when the data will not support the conclusion someone wants. The work directly influences marketing investment and customer targeting across our brands.

What You'll Own

  • **Marketing Effectiveness:** Lead scientific analysis across acquisition, lifecycle, audience strategy, channel performance, conversion, retention, and revenue.
  • **Experimentation:** Design and evaluate randomized tests, holdouts, quasi-experimental studies, and incrementality analysis, with clear hypotheses, guardrails, power analysis, and decision criteria.
  • **Predictive Modeling:** Build models for propensity, segmentation, next best action, churn, lifetime value, and campaign optimization that deliver measurable value.
  • **Attribution and Media Optimization:** Connect channel, session, customer, and booking identifiers, separate factual reporting from modeled attribution, and feed offline conversions back to advertising platforms with privacy and consent built in.
  • **Funnel Measurement:** Establish consistent metrics across brands and channels, from reach and engagement through bookings, revenue, and ROI.
  • **Data Quality and Instrumentation:** Assess data across experimentation, customer, marketing automation, analytics, advertising, call...

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