Staff Data Scientist, Marketing

About Our Client

The organization operates in the digital media industry, reaching more than 30 million monthly visitors across multiple brands. It connects consumers with leading brands through data-driven content and technology. With a remote-first workforce spanning more than 15 countries and headquarters in South Florida, the company maintains a high-growth, performance-oriented culture focused on speed, ownership, and measurable business impact.

About the Opportunity

The Staff Data Scientist, Marketing owns the end-to-end data science lifecycle for a priority business vertical, developing and deploying models that drive measurable revenue growth and media efficiency. This role partners directly with business stakeholders to build, validate, deploy, and monitor machine learning solutions. The initial focus is on Insurance and Advertiser Quality, with opportunities to expand into additional areas. Return on Ad Spend (ROAS) is a key measure of success.

Responsibilities

• Own end-to-end modeling initiatives for the Insurance vertical with measurable impact on ROAS.
• Develop and deliver buying models that generate positive ROAS while maintaining lead and advertiser quality.
• Improve lead quality across multiple brand portfolios through data-driven modeling and optimization.
• Build trusted partnerships with business stakeholders and translate business needs into effective data science solutions.
• Develop, validate, document, and maintain reliable models and analytical outputs with minimal correction or rework.
• Monitor model performance and identify opportunities for continuous improvement.
• Identify and pursue new modeling opportunities that can expand business impact beyond the current focus areas.

Requirements

• Proven experience in digital marketing, performance marketing, adtech, or lead generation.
• Experience developing adtech algorithms and supporting user acquisition, paid media, or performance marketing models.
• Strong data science and modeling fundamentals with a demonstrated ability to drive measurable business outcomes.
• Several years of hands-on experience developing and deploying machine learning solutions on AWS.
• Expertise in multi-armed bandit or reinforcement learning techniques, recommendation and ranking systems, funnel and monetization optimization, and lifetime value (LTV) modeling.
• Proficiency in Python and SQL.
• Minimum 5 years of applied data science experience delivering measurable business impact.

Pay

Base salary range of $175,000–$200,000 per year, paid semi-monthly.