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What this role is
This role leads the data science strategy for a performance marketing company's insurance vertical, building ML models that optimize customer acquisition costs and ad efficiency. It suits experienced data scientists who thrive owning problems end-to-end, from defining business metrics through deploying live models, and who want to see their work directly impact revenue.
Our summary, not Launch Potato’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years hands-on data science delivering measurable business impact
- Proven experience in digital marketing, performance marketing, or leadgen
- Building adtech algorithms for user acquisition or paid media modeling
- Strong modeling fundamentals driving business impact
- Multi-year experience building and deploying ML solutions in AWS
- Multi-armed bandit and reinforcement learning
- Recommendation and ranking systems
- Funnel and monetization optimization
- LTV modeling
- Expert Python and SQL
Nice to have
- Sophisticated ML experience at companies where paid digital media is core
- Creative embeddings work in paid media models
- Insurance domain experience
- State-of-the-art ad ranking algorithms
- Modeling against ad-platform data (Google, Meta, native)
- LLMs or deep learning applied to personalization or content
- Familiarity with Looker