Staff Applied Scientist, AdTech

About This Opportunity

We are representing a confidential adtech organization seeking a Staff Applied 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 ROAS performance.

You will focus initially on insurance and advertiser quality modeling, with scope that broadens over time. Your primary metric is ROAS, and you'll work directly with business stakeholders to frame problems, build and validate models, partner with ML engineering for deployment, and monitor live performance.

Responsibilities

• Own end-to-end modeling work for the insurance vertical with measurable ROAS impact
• Deliver buying models that maintain positive ROAS and quality standards
• Drive lead quality improvements across multiple brand touchpoints resulting in measurable revenue growth
• Establish trusted, direct partnerships with vertical business stakeholders
• Produce validated, documented output with low correction burden
• Identify and leverage net-new modeling opportunities the business has not yet flagged
• Stay engaged from problem definition through deployed performance monitoring

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 the 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 across core techniques: multi-armed bandit/reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling
• Expert-level Python and SQL
• Business-first framing: starts with the problem and the metric, not the model
• Proactive communication and ability to close loops without being chased
• Collaborative approach with ML engineering partners

Nice to Have:

• 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 state-of-the-art ad ranking algorithms
• Modeling against ad-platform data points (Google, Meta, native)
• LLMs/deep learning applied to personalization or content
• Familiarity with Looker

How We Work With You

Candidates apply through Get A Job.ai. Our talent team conducts an initial screening to ensure alignment with the role requirements. Qualified candidates are then submitted to our client for consideration. Please apply only through Get A Job.ai and do not contact the client directly.

Pay

Pay via Get A Job.ai: $175,000 to $200,000 per year, paid semi-monthly. Your total compensation package includes base salary, profit-sharing bonus, and competitive benefits.

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