Staff Applied Scientist, AdTech

Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact

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

Business-first framing: Starts with the problem and the metric, not the model.

Full-stack ownership: Stays engaged from problem definition through deployed performance

Proactive communication: Closes loops without being chased

Collaborative: Leans on ML engineering for the last mile rather than working solo

Coachable: Seeks feedback and turns it into visible behavior change

Curiosity paired with delivery discipline

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

Creating state-of-the-art Ad Ranking algorithms

Modeling against ad-platform data points (Google, Meta, native)

LLMs / deep learning applied to personalization or content

Familiarity with Looker

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.