Lead Data Scientist, AdTech
RemoteLima, Lima Province, Peru
Job Summary
Own the full data science engine for the Insurance vertical, framing business problems to drive measurable ROAS and media efficiency. Build and validate buying models that maintain positive returns, while improving lead quality across Messaging, Funnels, and Content portfolios. Collaborate with ML engineering partners to deploy solutions on AWS, ensuring trusted, documented outputs with low correction burdens. Proactively identify new modeling opportunities and maintain direct partnerships with stakeholders to close loops without being chased. Focus on multi-armed bandit and reinforcement learning techniques to optimize revenue growth.
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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