Lead Data Scientist, AdTech
New
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Launch PotatoAdTech, insurance
Location: United States (remote), Most of the company works East Coast hours.Full-TimeLead
SalaryYour compensation package includes a base salary, profit-sharing bonus, and competitive benefits.
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Job Details
- Experience
- 5+ years of hands-on applied data science with measurable business impact
- Required Skills
- AWSPythonSQL
Requirements
- Have 5+ years of hands-on applied data science experience with measurable business impact.
- Have built models that drove paid media decisions involving spend, bidding, or ad serving; attribution and reporting alone do not qualify.
- Be able to explain your own models, including loss-function and architecture choices and neural network fundamentals.
- Understand how current bids shape future training data.
- Have experience handling late labels, sparse features, or drift.
- Own models end to end, including finding data, building models, deployment, and monitoring.
- Have expert Python skills.
- Have expert SQL skills.
- Nice to have: experience spending real ad budgets in live auctions.
- Nice to have: large-scale ranking or recommendation systems experience.
- Nice to have: hands-on neural network work, such as embeddings of text, creative, or user behavior.
- Nice to have: AWS data science experience with ECS, S3, Athena, or SageMaker, and CI/CD deployment.
Responsibilities
- Build models that select the auto insurance carrier most likely to convert each shopper.
- Develop buying models for media spend and marketplace bidding held to ROAS.
- Use carrier quote, policy, and acquisition-cost data in production models.
- Find and prepare data, build and validate models, and carry them through deployment and monitoring.
- Develop approaches for delayed outcomes, sparse sessions, repeat shoppers, and market drift.
- Account for how bids affect which users are acquired and the data available for future training.
- Broaden model scope from auto insurance to other verticals over time.
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