Lead Applied Scientist, Marketing
RemoteBarranquilla, Atlántico, Colombia
Job Summary
Own the full data science engine for the Insurance vertical, from business problem framing to deployed model and live ROAS performance. Build and validate buying models that maintain positive ROAS and lead quality across Messaging, Funnels, Content/Listicles, and other brands. Leverage multi-armed bandit, reinforcement learning, and recommendation systems in AWS to drive revenue growth and media efficiency. Partner directly with stakeholders to close loops on performance analysis and identify net-new modeling opportunities. Focus on advertiser quality and lead generation optimization, handing the final ML engineering mile to your partner while maintaining engagement through deployment and monitoring.
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
- 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)
- 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
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