Lead Data 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

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework.

Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits.

Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

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We are proud to be an Equal Employment Opportunity company.

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