Viking · 20 hours ago
Senior Data Scientist, Revenue Management Systems
Viking is scaling its Revenue Management System (RMS) from a successful MVP to full inventory coverage and sustained yield uplift. This role serves as the hands‑on technical lead for the RMS analytics engine owning the suite of machine‑learning models, setting methodological direction, and making pragmatic decisions about when to use (or not use) ML.
CommercialLeisureTravel
Responsibilities
Own the RMS analytics engine end‑to‑end: demand forecasting, cancellations, price optimization, and recommendation logic—including data prep, training, validation, deployment, monitoring, documentation, and on‑time retrains
Improve reliability, coherence, and trust: by refining constraints, features, guardrails, and business rules; reducing edge‑case behaviors; strengthening monitoring, drift detection, and recovery playbooks; and improving model response times
Drive adoption and business impact: by partnering with Yield and Front‑End to expand RMS‑managed sailing coverage, ensure outputs are actionable in the tool, and track yield uplift versus control
Lead high‑value experimentation: by defining hypotheses, offline evaluation frameworks (IPS/DR), shadow tests, guardrails, and safe on‑policy trials; promote winning changes to production with rollback plans
Embed with Yield stakeholders: to translate pricing and inventory strategy into model logic and constraints, explain drivers of recommendations, and present results in clear business terms
Ensure strong production hygiene & MLOps: in partnership with Data Engineering/DevOps, including CI/CD, pipeline health, retraining orchestration, versioning, and feature‑store usage
Champion pragmatic, right‑sized solutions: using rules, SQL, or heuristics where signal, latency, governance, or explainability make ML unsuitable
Strengthen explainability & documentation: by upgrading care‑and‑feeding guides, methodology docs, and analyst manuals, lead knowledge transfer as external support tapers
Qualification
Required
6+ years of experience delivering production‑grade, commercially impactful ML solutions
Expert proficiency in Python, SQL, Spark, Databricks, and production ML practices (versioning, feature stores, monitoring, CI/CD)
Strong foundation in constrained optimization, experimental design, time‑series modeling, causal inference, and interpretable ML techniques
Demonstrated success shipping ML features into user‑facing tools and collaborating with business owners
Exceptional communication skills with the ability to explain complex concepts simply and defend methodological choices
Preferred
Preferred experience in pricing, forecasting, or inventory optimization within travel or hospitality
Benefits
Employees are eligible for annual discretionary bonus.
401(k) plan with company match.
Employee Share Purchase Plan (ESPP)
Full benefits including medical, dental, vision, life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking).
Accrue 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year.
Opportunity to take a free and/or discounted cruise.
Highly subsidized gym membership.
Discounts on theatres, theme parks, movie tickets, travel discounts through IATA membership and too many more discounts to name.
Company
Viking
Thank you for your interest in career opportunities at Viking.
H1B Sponsorship
Viking has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
$5.7B2025-09-29Post Ipo Debt· $1.7B
2025-05-27Post Ipo Secondary· $1.35B
2024-09-11Post Ipo Secondary· $930M
Leadership Team
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