Senior Data Scientist

Posted Yesterday
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3 Locations
In-Office
Senior level
Travel
The Role
Lead marketing effectiveness, experimentation, causal inference, predictive modeling, attribution, funnel measurement, and customer analytics. Build production-quality datasets, features, and models; assess data quality and instrumentation; communicate uncertainty and recommendations to executives; and coach analysts on reproducible, responsible methods. The role influences marketing investment, customer targeting, revenue, and enterprise priorities across travel, finance, operations, and customer experience.
Summary Generated by Built In
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
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Skills Required

  • 7+ years applying data science, experimentation, statistics, or machine learning to complex business problems
  • Expertise in experimental design and causal inference
  • Experience with predictive modeling, segmentation, forecasting, or optimization in production or decision-making settings
  • Advanced SQL and Python or R
  • Reproducible, production-quality analytical workflows
  • Experience with large, complex customer, digital behavior, campaign, or transaction datasets
  • Strong communication skills with technical and executive audiences
  • Bachelor's degree in data science, statistics, mathematics, computer science, economics, engineering, or another quantitative field
  • Master's degree or doctorate
  • Marketing science, advertising technology, or digital product analytics experience
  • Hands-on experience with Statsig, Tealium, Marketo, GA4, advertising platforms, Power BI, or Microsoft Fabric
  • Experience with identity resolution, multi-touch attribution, marketing mix modeling, incrementality testing, or offline conversion feedback
  • Privacy-aware measurement under GDPR and CCPA
  • Experience deploying and monitoring models with platform engineering teams
  • Experience establishing model governance and analytical standards
  • Travel, ecommerce, membership, or loyalty business experience

arrivia Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about arrivia and has not been reviewed or approved by arrivia.

  • Strong & Reliable Incentives — Commission-based earnings in sales are described as having strong upside when performance is high, with bonuses and full payouts cited as meaningful contributors to total pay.
  • Wellbeing & Lifestyle Benefits — Travel discounts and awards are positioned as a standout perk, supplemented by lifestyle add-ons like wellness programs, lifestyle spending, and office perks that add non-cash value.
  • Parental & Family Support — Family-building and parental benefits are described as more modern than baseline offerings, including paid parental leave and adoption/surrogacy and fertility support.

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The Company
HQ: Scottsdale, AZ
395 Employees
Year Founded: 1997

What We Do

Welcome to arrivia. We specialize in making brands better through the power of travel. With more than 55 years of combined experience, we’re a merger of three powerhouse brands (in case you’ve heard of us in the travel industry) combining ICE, SOR Technology and WMPH Vacations. With offices on both coasts of the US and around the world, we embrace diversity and a passion for travel across our global staff. We’re focused on building a customer-first culture, fueled by the best travel experiences for all our members at every point in their journey. Grow with us, as we continue our path to deliver innovative solutions and take charge of change. The adventure is only beginning. We’re on a mission to help people around the world travel better and experience more. Our team members bring world-class skills to the table to create extraordinary memories for our partners and members.

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