Staff Applied Scientist, AdTech
RemoteBarranquilla, Atlántico, Colombia
Job Summary
Own the full data science engine for the Insurance vertical, from business problem definition to deployed model and live ROAS performance. Build and validate buying models that maintain positive return on ad spend and drive lead quality improvements across messaging, funnels, and content portfolios. Frame problems directly with stakeholders, hand off the last mile to ML engineering partners, and stay engaged through deployment monitoring and performance analysis. Focus on multi-armed bandit, reinforcement learning, and ranking systems to optimize monetization and LTV. Start with Insurance and advertiser quality, 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
- 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)
- 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
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