Lead Applied Scientist, Marketing

About This Opportunity

We are representing a confidential digital media organization seeking a Lead Applied Scientist, Marketing based in Costa Rica. Our client operates at significant scale in the performance marketing space, connecting consumer attention with advertiser outcomes through data-driven optimization.

This is a hands-on, end-to-end role where you'll own the complete data science lifecycle for a priority vertical—starting with business problem definition, building and validating models, collaborating with ML engineering on deployment, and tracking live performance against ROAS metrics. You'll begin focused on insurance and advertiser quality, with scope expanding over time.

Responsibilities

• Own modeling work end-to-end for the Insurance vertical, delivering measurable ROAS impact
• Build and deploy buying models that maintain positive ROAS and quality standards
• Drive lead quality improvements across messaging, funnels, and content channels with measurable revenue impact
• Establish trusted, direct partnerships with vertical business stakeholders
• Identify and leverage new modeling opportunities the business has not yet surfaced
• Stay engaged from problem definition through deployed performance, monitoring, and analysis
• Produce validated, well-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
• Background building adtech algorithms and supporting user acquisition or paid media modeling
• Strong modeling fundamentals with demonstrated ability to build models that drive business results
• Multi-year, hands-on experience building and deploying ML solutions in AWS cloud environments
• Hands-on expertise across: 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
• Full-stack ownership mindset, staying engaged through deployment and performance monitoring
• Proactive communication style with strong loop-closing habits
• Collaborative approach, working effectively with ML engineering teams

Highly Valued:

• Sophisticated ML experience at companies where paid digital media is core to the business model
• Creative embeddings work incorporating visuals, video, headlines, and search into paid media models
• Insurance domain experience
• Creating state-of-the-art 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

When you apply through Get A Job.ai, our recruiting team will screen your profile and coordinate directly with you throughout the process. If there's a mutual fit, we'll submit your candidacy to our client for consideration. Please apply exclusively through Get A Job.ai—do not contact the client directly, as we manage all introductions and interviews on your behalf.

Pay

Compensation details will be discussed during the screening process with our talent team.

Equal Opportunity: Get A Job.ai is committed to diverse and inclusive hiring practices. We welcome candidates of all backgrounds and 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.