Job description

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 center, and transactional sources, document limitations before results reach executives, and define instrumentation and identity requirements with engineering. • Reusable Analytical Assets: Create datasets, features, and evaluation methods that enable trusted self-service analysis. • Executive Communication: Explain findings, uncertainty, and tradeoffs in business language, linking recommendations to revenue and customer outcomes. • Coaching and Standards: Coach analysts and partners on sound methods, reproducibility, and responsible AI. What You'll Bring • 7+ years applying data science, experimentation, statistics, or machine learning to complex business problems. • Demonstrated expertise in experimental design and causal inference, plus predictive modeling, segmentation, forecasting, or optimization in production or decision-making settings. • Advanced SQL and Python or R, with reproducible, production-quality analytical workflows. • Experience with large, complex customer, digital behavior, campaign, or transaction datasets. • Strong communication skills, including explaining methods and uncertainty to technical and executive audiences. • Bachelor's degree in a quantitative field such as data science, statistics, mathematics, computer science, economics, or engineering. Master's or doctorate preferred. An equivalent combination of education and experience will be considered. Nice to Have • Marketing science, advertising technology, or digital product analytics experience, including hands-on work with Statsig, Tealium, Marketo, GA4, advertising platforms, Power BI, or Microsoft Fabric. • Identity resolution, multi-touch attribution, marketing mix modeling, incrementality testing, or offline conversion feedback, including privacy-aware measurement under GDPR and CCPA. • Experience deploying and monitoring models with platform engineering teams, and establishing model governance and analytical standards. • Background in travel, ecommerce, membership, or loyalty businesses with blended online and offline customer journeys. Benefits & Perks • Unlimited PTO • Exclusive employee travel rates • Travel discounts through arrivia programs • Medical, dental, and vision insurance • 401(k) with company participation Who We Are arrivia powers travel loyalty and rewards programs for some of the world's leading brands. We help millions of travelers book memorable experiences while delivering the technology, supply, and service our partners build their programs on. We are investing in growth and in the platform that drives it. Modern technology, data, and AI are changing how travel is sold and serviced, and we are building the systems and the teams to lead that shift rather than follow it. Our Core Values Here at arrivia we… • Stay Curious - Explore new challenges and make space to learn, grow and improve • Keep it Real - Earn trust through open, honest and clear communication • Own it - Seek ways to make an impact and take action • Win Together - Create a culture of connection and inclusion where everyone can be their best

Requirements

Must-haves

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.
Funnel Measurement: Establish consistent metrics across brands and channels, from reach and engagement through bookings, revenue, and ROI.
Reusable Analytical Assets: Create datasets, features, and evaluation methods that enable trusted self-service analysis.
Executive Communication: Explain findings, uncertainty, and tradeoffs in business language, linking recommendations to revenue and customer outcomes.
Coaching and Standards: Coach analysts and partners on sound methods, reproducibility, and responsible AI.
7+ years applying data science, experimentation, statistics, or machine learning to complex business problems.
Demonstrated expertise in experimental design and causal inference, plus predictive modeling, segmentation, forecasting, or optimization in production or decision-making settings.
Advanced SQL and Python or R, with reproducible, production-quality analytical workflows.
Experience with large, complex customer, digital behavior, campaign, or transaction datasets.
Strong communication skills, including explaining methods and uncertainty to technical and executive audiences.

Nice-to-haves

Marketing science, advertising technology, or digital product analytics experience, including hands-on work with Statsig, Tealium, Marketo, GA4, advertising platforms, Power BI, or Microsoft Fabric.
Identity resolution, multi-touch attribution, marketing mix modeling, incrementality testing, or offline conversion feedback, including privacy-aware measurement under GDPR and CCPA.
Experience deploying and monitoring models with platform engineering teams, and establishing model governance and analytical standards.
Background in travel, ecommerce, membership, or loyalty businesses with blended online and offline customer journeys.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningsqlpython

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto