Lead Revenue Optimization & Pricing Scientist

Finns Beach Club; Provinsi Bali; Hybrid; IDR 360,000,000 - 720,000,000; Full time

Benefits offered by this job

Dining discounts

Staff events

Beach access

Job summary

Finns Beach Club in Bali seeks a data-driven Lead Revenue Optimization & Pricing Scientist to design and deploy a real-time dynamic pricing engine for daybeds, cabanas, and F&B revenue streams.

You will bridge econometrics, ML, and hospitality operations, building models that optimize RevPAD while preserving brand equity, with cross-functional collaboration across host stands and POS systems.

Qualifications

• Degree in data science, operations research, econometrics, or a quantitative field.
• 3–5+ years in dynamic pricing, revenue management, or yield optimization.
• Experience in hospitality pricing (hotels/resorts) or high-frequency venues is a plus.
• Experience with censored data, multi-product revenue streams, or capacity constraints.

Responsibilities

• Design and manage dynamic pricing engine across physical inventory and F&B.
• Develop econometric models for unconstrained and constrained demand.
• Apply causal ML to estimate price elasticity and optimize revenue.
• Implement guardrails and integrate with front desk and POS operations.

Skills

English fluency

Data science

Econometrics

Pricing optimization

Education

Bachelor’s or Master’s in Data Science / Econometrics / OR

Tools

Python

R

Gurobi / OR-Tools

SQL

Contextual bandits / ML tooling

Job description

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.

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.

Responsibilities

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.

Responsibilities

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.

Qualifications

• 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.

First business in Bali was a travel company, Bali Res Centre but soon followed the vision for Semara Resort & Spa, in Seminyak. The Semara team project managed the design, construction and interiors of the boutique resort which included Cubby House Kids Club, Semara Spa, and The Deck Sports Bar. Semara Collection owned and managed this highly successful business until February 2015 when sold to a Singapore based company.

In 2011 Semara Collection added Semara Luxury Villa Resort and Finns Beach Club to the portfolio. This properties construction was not yet complete after 5 years. The Semara team completed the build and opened the resort and beach club by September 2011 (9 months).

This property currently remains under Semara management and is now recognized internationally as one of Bali’s best luxury villa properties, wedding venues and beach clubs.

The rapid growth has not slowed with the addition of Canggu Club in June 2013. Previously a member’s only club the leisure and entertainment venue now is open to the public.

Semara also owns and manages Semara Beach House, one of Bali’s original villa located absolute beachfront on Pantai Berawa, Canggu. It is at this same location that a new beach club is under name FINNS BEACH CLUB starting open on June 2016,

On 1st June 2017 CANGGU CLUB re branding to become FINNS RECREATION CLUB.

First business in Bali was a travel company, Bali Res Centre but soon followed the vision for Semara Resort & Spa, in Seminyak. The Semara team project managed the design, construction and interiors of the boutique resort which included Cubby House Kids Club, Semara Spa, and The Deck Sports Bar. Semara Collection owned and managed this highly successful business until February 2015 when sold to a Singapore based company.

In 2011 Semara Collection added Semara Luxury Villa Resort and Finns Beach Club to the portfolio. This properties construction was not yet complete after 5 years. The Semara team completed the build and opened the resort and beach club by September 2011 (9 months).

This property currently remains under Semara management and is now recognized internationally as one of Bali’s best luxury villa properties, wedding venues and beach clubs.

The rapid growth has not slowed with the addition of Canggu Club in June 2013. Previously a member’s only club the leisure and entertainment venue now is open to the public.

Semara also owns and manages Semara Beach House, one of Bali’s original villa located absolute beachfront on Pantai Berawa, Canggu. It is at this same location that a new beach club is under name FINNS BEACH CLUB starting open on June 2016,

On 1st June 2017 CANGGU CLUB re branding to become FINNS RECREATION CLUB.