Lead Data Scientist, AdTech
Posted 12hrs ago
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Job Description
Lead Data Scientist building auto-insurance carrier matching and media-bidding models. Launch Potato connects consumer discovery to measurable customer acquisition for major brands.
Responsibilities:
- Build models deciding which auto insurance carrier each shopper sees on the click wall
- Optimize user-to-carrier matching for conversion and carrier bidding
- Own buying models behind media spend and hold them to ROAS
- Put carrier conversion data, including quotes, policies and acquisition cost, into production models
- Frame problems with the business and find, build and validate models
- Take models through deployment and monitoring
- Run insurance marketplace media buying independently by day 60
- Deliver click-wall matching, production conversion models, scalable automated bidding, approaches for repeat users and sparse sessions, and models resilient to drift and changing objectives
- Collaborate with an ML engineer on production implementation
- Expand scope from auto insurance to other verticals over time
Requirements:
- 5+ years of hands-on applied data science with measurable business impact
- Models drove paid media decisions: spend, bidding or ad serving; attribution and reporting alone do not qualify
- Ability to explain work down to the loss function and architecture choice, including neural network fundamentals
- Experience handling late labels, sparse features or drift
- Ability to own models end to end, from finding data through deployment and monitoring
- Expert Python and SQL
- Real ad budget spent in live auctions (nice to have)
- Large-scale ranking or recommendation systems (nice to have)
- Explaining tradeoffs to non-technical partners (nice to have)
- Designing for auction feedback loops, selection bias and exploration (nice to have)
- Hands-on neural network work (nice to have)
- AWS for data science: ECS, S3, Athena, SageMaker (nice to have)
- CI/CD deployment (nice to have)
Benefits:
- Profit-sharing bonus
- Competitive benefits
- Remote-first work arrangement
- Diverse, inclusive team and culture
- Equal Employment Opportunity company
















