Senior Data Scientist, Revenue Management Systems

Viking Cruises•Los Angeles, CA

14d•Hybrid

About The Position

Viking is hiring a Lead Data Scientist to oversee the Revenue Management System, manage machine-learning models, and set methodological strategy. The role works within the Yield team and collaborates with technology to keep the RMS stable, efficient, explainable, and aligned with business goals. This is a hybrid position based in our Woodland Hills, Los Angeles office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis.

Requirements

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.

Nice To Haves

Preferred experience in pricing, forecasting, or inventory optimization within travel or hospitality.

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 re-trains.
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 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 or heuristics where signal strength or explainability make ML unsuitable.
Strengthen explainability & documentation: by upgrading care-and-feeding guides, methodology docs, and analyst manuals.

Benefits

Highly competitive compensation plan.
Salary range $200,000-$220,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, and other relevant business considerations.
Employees are eligible for annual discretionary bonus.
401(k) plan with company match.
Employee Share Purchase Plan (ESPP) Viking full-time regular employees working in the United States can purchase Viking shares through payroll deductions.
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.
Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence, integrity and our teams’ outstanding contributions.