Lead Applied Scientist, Marketing

5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.

Business-first framing:

Full-stack ownership:

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

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.