Staff Data Scientist, Marketing
RemoteAntigua and Barbuda or South, Kentucky, United States
Job Summary
Own the full data science engine for the Insurance vertical, from business problem framing to deployed model and live ROAS performance. Build and validate buying models that maintain positive ROAS and lead quality across Messaging, Funnels, and Content/Listicles. Leverage multi-armed bandit, reinforcement learning, and ranking systems in AWS to drive revenue growth and media efficiency. Partner directly with stakeholders to identify net-new modeling opportunities and produce validated, documented outputs with low correction burden. Focus on advertiser quality and insurance domain insights to accelerate career impact within a high-performance, remote-first team.
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)
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