Lead Data Scientist, AdTech
RemoteBuenos Aires, Buenos Aires F.D., Argentina
Job Summary
Own the full data science engine for the Insurance vertical, driving measurable ROAS impact from problem definition through deployed model performance. Build buying models that maintain positive return on ad spend and deliver lead quality improvements across messaging, funnels, and content portfolios. Frame business problems directly with stakeholders, validate models, and hand the ML-engineering last mile to your partner while staying engaged through continuous monitoring and analysis. Focus on Insurance and advertiser quality initially, with scope broadening over time to leverage 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
- 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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