Lead Data Scientist, AdTech

Overview

• Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.

• This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.

• You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time.

• Your primary metric is ROAS.

• Deliver buying models that maintain positive ROAS and quality.

• Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth.

• Establish trusted, direct partnership with vertical business stakeholders.

• Produce trusted output: validated, documented, low correction burden.

• Identify and leverage net-new modeling opportunities the business has not flagged.

Requirements

• Proven experience in digital marketing, performance marketing, or the leadgen industry

• Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)

• Strong modeling fundamentals: the ability to build effective models that drive business impact

• Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud

• Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling

• Expert Python and SQL

• 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.

ATS Optimization Keywords

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Hard Skills

• Modeling Fundamentals

• Adtech Algorithms

• Lead Generation Modeling

• Reinforcement Learning

• Recommendation Systems

• Funnel Optimization

• LTV Modeling

Soft Skills

• Stakeholder Engagement

• Partnership Building

• Communication