Lead Applied Scientist, Marketing
Boynton Beach, FL (remote)All locationsBoynton Beach, FL (remote)Asheville, NC (remote)Atlanta, GA (remote)Charleston, SC (remote)Charlotte, NC (remote)Delray Beach, FL (hybrid)Fort Lauderdale, FL (hybrid)Miami, FL (hybrid)Raleigh, NC (remote) Hybrid
$175,000–$200,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.
What you'll bring
- Proven experience in digital marketing, performance marketing, or the leadgen industry
- Building adtech algorithms and supporting user acquisition or paid media modeling
- 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.
- highly desired