Andrew Darmond

About Andrew Darmond

I build machine learning systems that drive measurable revenue growth.As a Lead Data Scientist in iGaming, I architected and institutionalized a full-lifecycle ML ecosystem spanning acquisition, LTV, retention, churn, and reactivation — transforming analytics from reporting into a structured growth engine.I established company-wide experimentation infrastructure, scaling to 10+ controlled experiments per quarter and contributing to a 20%+ annualized lift in NGR. Previously, I developed an 88% accurate LTV model that reshaped marketing reinvestment strategy and materially increased projected revenue.My work sits at the intersection of ML, product strategy, and capital allocation. I focus on designing scalable systems — not one-off analyses — and aligning predictive insights to executive decision-making.Technically, I operate across predictive modeling, causal inference, uplift modeling, time series forecasting, and ML deployment in production environments.I’m particularly interested in building and scaling high-performing data science teams in growth-stage environments where AI is a core competitive advantage.

Experience

1. Lead Data Scientist

   Rush Street Interactive

   Sep 2023 — Present · Las Vegas, NV, US

   Architected and institutionalized the company’s first full-lifecycle machine learning ecosystem spanning Acquisition, LTV, Retention, Churn, and Reactivation, transforming data science into a core growth driver across verticals.• Defined and operationalized enterprise growth KPI architecture (CAC, LTV, ARPU, MAU), reducing reporting inconsistencies by 80%+ and aligning Product, Marketing, and Executive teams around unified performance metrics.• Built and scaled experimentation infrastructure from zero to 10+ controlled experiments per quarter, embedding statistical rigor into product and marketing decision-making and contributing to a 20%+ annualized lift in NGR.• Designed causal impact measurement framework across 15 weekly lifecycle campaigns, quantifying a 21% NGR increase among bonused cohorts vs. control and influencing reinvestment strategy.• Led end-to-end lifecycle of 10+ production ML models and 15+ data pipelines, establishing reliability standards and governance during major tech stack transitions.• Serve as primary strategic partner to Product and Growth leadership, translating predictive insights into investment prioritization and roadmap decisions.

Education

• Hult International Business School

  Master's degree, Business Analytics

  2019 — 2020

• Hult International Business School

  Master's degree, International Business

  2018 — 2019

• Louisiana State University

  Bachelor’s Degree, Sports Administration

  2012 — 2016

Skills

• Microsoft Office
• Management
• Team Building
• Teamwork
• Microsoft Excel
• Leadership
• Sports
• Marketing
• Microsoft Word
• Team Leadership
• Public Speaking
• Sports Management
• Filing
• Social Media
• Sports Marketing
• Networking
• Time Management
• Microsoft Powerpoint
• Event Planning