Lead Applied Scientist, Marketing
RemoteBuenos Aires, Buenos Aires F.D., Argentina
Job Summary
Own the full data science engine for the Insurance vertical, framing business problems directly with stakeholders to build and validate models that drive live ROAS performance. Deliver buying models maintaining positive returns while improving lead quality across messaging, funnels, and content strategies. Stay engaged through deployment, monitoring, and performance analysis, handing the ML-engineering last mile to your partner while establishing trusted partnerships with vertical stakeholders. Focus on multi-armed bandit and reinforcement learning to optimize monetization and LTV, producing validated, documented outputs with low correction burdens.
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.