Lead Applied Scientist, Marketing
RemotePanamá, Panamá, Panama
Job Summary
Own the full data science engine for the Insurance vertical, from business problem definition to deployed model and live ROAS performance. Build and validate buying models that maintain positive ROAS and lead quality across Messaging, Funnels, and Content/Listicles. Collaborate with ML engineering partners to deploy multi-armed bandit and reinforcement learning solutions in AWS, while framing problems directly with stakeholders to drive revenue growth and media efficiency. Focus on Insurance and Advertiser Quality initially, leveraging Python, SQL, and advanced modeling to produce validated, documented outputs with low correction burden.
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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.