Das ist der Job
You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time.
Darum lohnt es sich
Overview 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.
Your primary metric is ROAS. Deliver buying models that maintain positive ROAS and quality. Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth. Establish trusted, direct partnership with vertical business stakeholders.
Produce trusted output: validated, documented, low correction burden. Identify and leverage net-new modeling opportunities the business has not flagged.
Requirements Proven experience in digital marketing, performance marketing, or the leadgen industry Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) 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
