FINNS Bali is seeking an exceptional, data-driven Lead Revenue Optimization & Pricing Scientist to design, deploy, and manage our algorithmic dynamic pricing engine for luxury beach club inventory.
Unlike traditional hotel revenue management—where booking windows span weeks and rooms are priced in isolation—our environment requires real-time, intra-day yield optimization across physical assets (daybeds, cabanas) and high-margin Food & Beverage (F&B) revenue streams.
You will bridge the gap between econometrics, machine learning, and hospitality operations. You will build and refine models that balance real-time walk-in velocity, weather forecasts, spatial inventory dynamics, and guest spend behavior to maximize Total Revenue Per Available Daybed (RevPAD) while protecting brand equity.
Location: Bali, Indonesia
Summary
FINNS World's Best Beach Club is not just a beach club; it's a destination where dreams come alive! We pride ourselves on creating exhilarating entertainment, vibrant energy, and unforgettable F&B experiences. Nestled along the breathtaking Bali coastline, we provide a one-of-a-kind party atmosphere that leaves our guests craving for more.
1. Algorithmic Pricing & Yield Engine Strategy
- Total Guest Value (TGV) Optimization: Design dynamic pricing and minimum spend models that maximize joint contribution margin across daybed rental fees and F&B consumption.
- Ratio & Split Tuning: Programmatically optimize the split between non-refundable upfront rental fees and pre-paid F&B credits based on lead time, channel, and guest spend profiles.
- Spatial & Attribute Pricing: Implement discrete choice models (e.g., Multinomial Logit) to price prime inventory (e.g., front-row oceanfront) dynamically against secondary deck or pool zones.
- Overflow & Queue Management: Develop pricing models for general admission / "skip-the-queue" entry passes when inventory reaches capacity, incorporating overflow metrics into unconstrained demand estimates.
2. Advanced Data Science & Econometric Modeling
- Unconstrained Demand Forecasting: Build censored regression models (Tobit, Survival Analysis) to estimate true latent demand during peak, capacity-constrained sell-out periods.
- Causal Elasticity Estimation: Apply Causal Machine Learning (Double ML, Instrumental Variables) to isolate true price elasticity from confounding variables (weather, local events, holiday spikes).
- Continuous Experimentation: Implement Contextual Multi-Armed Bandits (e.g., Thompson Sampling) to continuously explore guest willingness-to-pay while minimizing lost revenue ("regret").
3. Operational Integration & Guardrails
- Real-Time Guardrails: Establish automated circuit breakers, smoothing filters, and soft floors/ceilings to prevent algorithmic price spikes or panic rate-dropping.
- Cross-Functional Collaboration: Partner with VIP Hosts, Front Desk teams, and POS operators to align algorithmic recommendations with real-world execution at the host stand.
- Business Intelligence & Reporting: Build executive dashboards tracking RevPAD, F&B capture rates, demand pace, denial/regret rates, and algorithmic yield lift.
- Bachelor’s or Master’s degree in Data Science, Operations Research, Econometrics, Quantitative Economics, Industrial Engineering, or Revenue Management.
- 3–5+ years in dynamic pricing, revenue management, or yield optimization.
- Proven track record in hospitality pricing (Hotels, Resorts, Short-Term Rentals, Airlines) OR high-frequency experiential venues (Theme Parks, Nightclubs, Ticketing).
- Hands-on experience working with censored data, multi-product revenue streams, or capacity-constrained assets.
- Capable to use Python/R, Causal ML & Optimization solvers (Gurobi/OR-Tools), Multi-Armed Bandits, Advanced SQL, and real-time streaming/POS data pipelines.
- Deep understanding of capacity constraints, lead-time decay curves, perishable inventory, and customer perception of price fairness.
- Ability to model cost of goods sold (COGS), basket size distributions, and net contribution margins across mixed revenue streams.
- Proficiency in Causal Inference, Synthetic Controls, and Time-Series Interleaved Testing (knowing why traditional A/B testing fails on adjacent physical assets).
- Fluency in English is required.
Perks and benefits:
- An opportunity to work in a world-renowned beach club
- Growing your skills and the possibility of growing within the company
- Fast growing company
- Competitive salary package
- FINNS Bali Membership
- BPJS and insurance Mandiri healthcare
Please send your CV and Recent Photograph.
Only shortlisted candidates will be notified.