Data Scientist- Customer Modeling

Holiday Inn Club Vacations • Orlando, FL

18h • Hybrid

About The Position

The Data Scientist, Customer Modeling is a core builder of our enterprise
customer data and predictive analytics capability. This role transforms
customer, behavioral, and performance data into predictive intelligence that
drives activation, retention, optimized channel engagement, and long-term
customer value.

Partnering closely with Performance Marketing, Analytics, Audience Strategy, and
Technology, this role will lead the development of a suite of predictive and
propensity models and ensures they are aligned to business priorities, validated
in-market, and driving measurable ROI. The Data Scientist also provides
leadership to an analyst who supports model development, validation, and
exploratory analytics.

Requirements

• BA/BS or MS in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field.
• 3–5+ years of hands-on predictive modeling experience (marketing, CRM, or revenue optimization preferred).
• Demonstrated expertise in Python, R, Azure ML machine learning frameworks, and SQL.
• Experience working with large-scale data environments, customer lifecycle data, and marketing/test design frameworks.
• Experience collaborating with Data Engineering and Technology teams to define data requirements and pipelines.
• Valid driver’s license and reliable transportation (required). This role may include on-site content capture at resorts and other properties.
• Deep knowledge of statistical modeling, machine learning algorithms, and feature engineering.
• Ability to translate complex analytical findings into clear, actionable insights for non-technical leaders.
• Strong critical-thinking and problem-solving skills grounded in business outcomes and operational feasibility.
• Skilled in managing long-cycle testing and validating performance across upstream and downstream funnel metrics.
• Confident communicator able to influence stakeholders, guide interpretation of predictive outputs, and recommend actions.
• Self-starter who thrives in fast-paced, evolving environments and champions a culture of data-driven decision-making.
• High attention to detail and ability to move work forward quickly in a fast-paced environment.

Responsibilities

• Lead predictive model development end-to-end
• Design, build, validate, deploy, and maintain a suite of propensity, attrition, LTV, and channel models that directly influence activation, retention, and ROI.
• Translate strategic business needs into modeling requirements
• Lead partnership with cross-functional stakeholders to define outcomes, prioritize development, and ensure models reflect business rules, funnel dynamics, and performance drivers.
• Conduct deep data exploration and guide data engineering requirements
• Support the assessment of data quality, understand transformations, define feature needs, partner with Technology identifying gaps in EDW, data capture, and documentation that impact modeling integrity.
• Establish rigorous measurement and testing frameworks
• Including holdouts, back-testing and lifecycle validation; continuously monitor model drift, re-score, re-train, and ensure KPIs (activation, usage, conversion, engagement, margin impact, etc) are accurately measured and communicated.
• Lead, mentor, and elevate analytical capability by overseeing an analyst supporting model development and validation, defining modeling best practices, and ensuring model outputs are understood, leveraged, and integrated into performance optimization across teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level