Lead Data Scientist, AdTech
RemoteMontevideo, Montevideo Department, Uruguay
Montevideo, Montevideo Department, UruguayRemoteFull TimeSenior LevelDoctorate Or Professional DegreeDigital MediaSmall
Full TimeSenior LevelDoctorate Or Professional DegreeSmallDigital Media
Job Summary
Own the full data science engine for the Insurance vertical, framing business problems directly with stakeholders and building validated models to drive ROAS and lead quality. Deliver buying models that maintain positive returns while handing ML-engineering last-mile tasks to partners for deployment and monitoring. Stay engaged through performance analysis to identify net-new modeling opportunities and produce documented outputs with low correction burdens. Focus on multi-armed bandit, reinforcement learning, and ranking systems within AWS to optimize revenue growth across Messaging, Funnels, and Content brands.
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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