Staff Applied Scientist, AdTech
RemoteAlajuela, Alajuela Province, Costa Rica
Job Summary
Own the full data science engine for the Insurance vertical, from business problem framing to deployed model and live ROAS performance. Build buying models that maintain positive ROAS and drive lead quality improvements across Messaging, Funnels, and Content/Listicles. Validate and document outputs to minimize correction burden while identifying net-new modeling opportunities. Partner directly with stakeholders to ensure business-first framing and proactive communication throughout the deployment lifecycle. Leverage multi-year experience in applied data science, multi-armed bandits, and reinforcement learning to deliver measurable revenue growth.
Required Qualifications
- Proven experience in digital marketing, performance marketing, or the leadgen industry
- 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
Desired Qualifications
- Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
- Sophisticated ML at companies where paid digital media is core to the business model
- Creative embeddings work: incorporating embeddings of creatives, videos, 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)
- LLMs / deep learning applied to personalization or content
- Familiarity with Looker
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