LP
Staff Data Scientist, Lead Generation
Launch PotatoUnited States (remote) · Remote · full time · Senior
Listed on Launch Potato’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
You'll build machine learning models that route auto insurance shoppers to the carrier most likely to convert them, optimizing both conversion probability and media spending ROI. This role suits experienced data scientists who have owned predictive models in paid media environments and can navigate feedback loops, sparse data, and production drift.
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 of applied data science with measurable business impact
- Models that drove paid media decisions (spend, bidding, or ad serving)
- Built and can explain your models down to loss function and architecture, including neural network fundamentals
- Understanding of how current bids shape future training data; experience with late labels, sparse features, or drift
- End-to-end model ownership: finding data, building, deploying, and monitoring
- Expert proficiency in Python and SQL
Nice to have
- Real ad budget spent in live auctions
- Large-scale ranking or recommendation systems
- Ability to explain tradeoffs to non-technical stakeholders
- Experience designing for auction feedback loops, selection bias, and exploration
- Hands-on neural network work with embeddings
- AWS data science tools (ECS, S3, Athena, SageMaker)
- CI/CD deployment experience