Lead Data Scientist, AdTech

About This Opportunity

We are representing a confidential adtech organization seeking a Lead Data Scientist to own the full data science engine for a priority vertical. This is a hands-on role where you'll drive measurable revenue and media efficiency from business problem through deployed model to live performance metrics.

You'll start by focusing on insurance and advertiser quality, with scope that broadens over time. Your primary success metric will be return on ad spend (ROAS). This role requires someone who starts with the business problem and the metric, not just the model—and who stays engaged from problem definition through deployed performance.

Responsibilities

• Own end-to-end modeling work for the insurance vertical with measurable ROAS impact
• Build and deploy buying models that maintain positive ROAS and quality standards
• Drive lead quality improvements across multiple brand touchpoints including messaging, funnels, and content
• Establish direct partnerships with vertical business stakeholders
• Frame business problems directly with stakeholders, build and validate models, and collaborate with ML engineering partners for deployment
• Monitor deployed models and analyze performance to drive continuous improvement
• Identify and leverage net-new modeling opportunities the business hasn't yet flagged
• Produce validated, documented output with low correction burden

What We're Looking For

Required:

• 5+ years in a hands-on applied data science role delivering measurable business impact
• Proven experience in digital marketing, performance marketing, or the leadgen industry
• Experience building adtech algorithms and supporting user acquisition or paid media modeling
• Strong modeling fundamentals with ability to build effective models that drive business impact
• Multi-year hands-on experience building and deploying ML solutions in AWS cloud
• Hands-on experience with multi-armed bandit/reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, and LTV modeling
• Expert-level Python and SQL skills
• Business-first framing: starts with the problem and metric, not the model
• Proactive communication style that closes loops without being chased

Preferred:

• Sophisticated ML experience at companies where paid digital media is core to the business model
• Creative embeddings work incorporating creatives, videos, headlines, and search into paid media models
• Insurance domain experience
• Experience creating advanced ad ranking algorithms
• Modeling against ad-platform data points (Google, Meta, native platforms)
• LLMs or deep learning applied to personalization or content
• Familiarity with Looker

How We Work With You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional candidates with high-impact roles. When you apply through our platform, a dedicated recruiter will screen your background and experience. If there's a strong match, we'll submit your profile to our client and guide you through their interview process.

Important: Please apply only through Get A Job.ai. Do not contact the client directly, as we manage the recruitment process on their behalf.

Pay

Pay via Get A Job.ai: $175,000 to $200,000 per year

Compensation is determined by market rates and the organization's leveling framework. The total package includes base salary, performance-based profit-sharing bonus, and competitive benefits.

Location: USA, remote-first

Equal Opportunity

Get A Job.ai is committed to diversity, equity, and inclusion in our recruiting practice. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability status, or other legally protected characteristics.