Staff Data Scientist, Marketing
RemoteBarranquilla, Atlántico, Colombia
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, Content/Listicles, and other brands. Frame problems directly with stakeholders, hand the last mile to ML engineering partners, and stay engaged through deployment, monitoring, and performance analysis. Focus on insurance and advertiser quality initially, with scope broadening over time. Deliver validated, documented outputs with low correction burdens while identifying net-new modeling opportunities.
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)
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