Staff Data Scientist, Marketing
RemoteBuenos Aires, Buenos Aires F.D., Argentina
Job Summary
Own the full data science engine for the Insurance vertical, from business problem definition to deployed model and live ROAS performance. Build buying models that maintain positive ROAS and lead quality across Messaging, Funnels, and Content/Listicles, driving revenue growth and media efficiency. Frame problems directly with stakeholders, validate models, and hand the ML-engineering last mile to partners while monitoring deployment and performance. Focus heavily on adtech algorithms, multi-armed bandits, and reinforcement learning to optimize user acquisition and paid media modeling. Deliver trusted, documented outputs with low correction burdens and identify 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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