USA On-site MoneyLion Intern – Marketing Data Science & Experimentation (MoneyLi
Experimentation Jobs, New York, NY, United States
Why Here?
Gen Digital powers digital freedom in cybersecurity, identity, privacy, and financial wellness for nearly 500 million users across 150+ countries. MoneyLion, part of Gen Digital, operates as a leading fintech platform offering consumer finance super apps and embedded products. This role sits within the MoneyLion Marketing & Yield Analytics team, which drives experiments and analytics to enhance growth, risk management, and yield optimization. What Will You Do?
As an Intern – Marketing Data Science & Experimentation (MoneyLion, FinTech at MoneyLion, you will structure and document standardized experiment analysis plans for growth, risk, and pricing tests. You will refine feature inputs and model specifications for double machine learning analyses to ensure reproducibility and stability. Additionally, you will analyze a live experiment using DML to estimate heterogeneous treatment effects across segments and translate findings into clear business recommendations.
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Gen Digital powers digital freedom in cybersecurity, identity, privacy, and financial wellness for nearly 500 million users across 150+ countries. MoneyLion, part of Gen Digital, operates as a leading fintech platform offering consumer finance super apps and embedded products. This role sits within the MoneyLion Marketing & Yield Analytics team, which drives experiments and analytics to enhance growth, risk management, and yield optimization. What Will You Do?
As an Intern – Marketing Data Science & Experimentation (MoneyLion, FinTech at MoneyLion, you will structure and document standardized experiment analysis plans for growth, risk, and pricing tests. You will refine feature inputs and model specifications for double machine learning analyses to ensure reproducibility and stability. Additionally, you will analyze a live experiment using DML to estimate heterogeneous treatment effects across segments and translate findings into clear business recommendations.
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