Lead Applied Scientist, Marketing
RemoteLima, Lima Province, Peru
Job Summary
Own the full data science engine for the Insurance vertical, framing business problems with stakeholders to build and deploy models that drive measurable ROAS. Deliver buying models maintaining positive returns while improving lead quality across Messaging, Funnels, and Content portfolios. Partner with ML engineering to handle the last mile of deployment, monitoring performance, and identifying net-new modeling opportunities. Focus on multi-armed bandits, reinforcement learning, and ranking systems using Python and SQL in the AWS cloud. This hands-on role starts with Insurance and Advertiser Quality, broadening scope over time to support a global team of 15+ countries.
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
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