Lead Data Scientist, AdTech

About this role

This is a Fully Remote Job

About Our Client:

The organization operates in the digital media and consumer acquisition industry, focusing on connecting discovery, intent, and performance across consumer brands in finance, travel, and entertainment. It addresses the challenge of customer acquisition by leveraging a portfolio of brands to reach tens of millions monthly, converting that attention into measurable outcomes for partner companies. The company maintains a remote-first team distributed across multiple countries with headquarters in South Florida.

About the Opportunity:

The LEAD DATA SCIENTIST, ADTECH, role is responsible for building and managing predictive models that optimize which auto insurance carriers are presented to users, aiming to maximize conversion rates and return on ad spend. This position directly influences media buying decisions and model performance in a dynamic environment characterized by delayed conversion data, sparse sessions, and market fluctuations. The role requires end-to-end model ownership from problem framing through deployment and ongoing monitoring, contributing crucially to the effectiveness and scalability of the organization's advertising marketplace.

Responsibilities:

• Develop models to determine carrier selection for auto insurance shoppers to optimize conversion.
• Manage media buying models aimed at achieving targeted return on ad spend.
• Integrate and utilize delayed and complex conversion data within production environments.
• Address challenges related to sparse user sessions and repeat users.
• Monitor and maintain model performance despite market drift and changing objectives.
• Collaborate with ML engineers for production deployment.
• Expand modeling scope to additional verticals over time.

Requirements:

• Minimum of 5 years of applied data science experience with clear business impact.
• Proven experience with models that drive paid media decisions such as spend, bidding, or ad servin...