Lead Data Scientist, AdTech
RemoteValparaíso, Valparaíso, Chile
Job Summary
Own the Insurance vertical's primary modeling work end-to-end, from business problem definition to deployed model and live ROAS performance. Deliver buying models that maintain positive ROAS and quality while driving lead quality improvements across Messaging, Funnels, Content/Listicles, and other portfolio brands. Stay engaged through deployment, monitoring, and performance analysis, handing the ML-engineering last mile to your partner. Establish trusted partnerships with vertical business stakeholders to produce validated, documented outputs with low correction burden. Identify and leverage net-new modeling opportunities the business has not flagged. Focus on advertiser quality and ROAS optimization, with scope broadening over time.
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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