Remote opportunity at
Launch PotatoLead Data Scientist, AdTech
Launch Potato, a discovery and conversion company operating brands like FinanceBuzz, All About Cookies, and OnlyInYourState, seeks a Lead Data Scientist, AdTech for a full-time, remote…
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About This Role
Launch Potato, a discovery and conversion company operating brands like FinanceBuzz, All About Cookies, and OnlyInYourState, seeks a Lead Data Scientist, AdTech for a full-time, remote position. The organization reaches tens of millions of monthly users and connects consumer intent with performance across finance, travel, and entertainment categories. In this hands-on individual contributor role, the specialist will construct the models determining which insurance carrier auto insurance shoppers encounter on the…
Job Description
Launch Potato, a discovery and conversion company operating brands like FinanceBuzz, All About Cookies, and OnlyInYourState, seeks a Lead Data Scientist, AdTech for a full-time, remote position. The organization reaches tens of millions of monthly users and connects consumer intent with performance across finance, travel, and entertainment categories. In this hands-on individual contributor role, the specialist will construct the models determining which insurance carrier auto insurance shoppers encounter on the click wall. The objective is to direct users to the optimal carrier to drive conversions and increase partner bidding.
This position requires managing buying models connected to ROAS and integrating carrier conversion data into live production systems. Responsibilities include resolving complex data challenges involving delayed outcomes, sparse sessions, returning shoppers, and market drift. By day 60, the incumbent will independently manage insurance marketplace media buying. Success after one year includes scalable automated marketplace bidding, effective handling of repeat users, and reliable production models. Most of the team operates on East Coast hours.
Responsibilities
- Build models that determine insurance carrier assignment for auto insurance shoppers on the click wall
- Manage the buying models tied to media spend and ROAS
- Integrate carrier conversion data including quotes, policies, and acquisition costs into production models
- Frame problems directly with the business, gather data, build and validate models, and oversee deployment and monitoring
- Scale automated marketplace bidding from proof of concept
- Develop approaches for repeat users and sparse sessions
Requirements
- At least 5 years of hands-on applied data science experience with measurable business impact
- Demonstrated history of models driving paid media decisions such as spend, bidding, or ad serving
- Ability to explain resume projects down to the loss function and architecture choice, including neural network fundamentals
- Experience handling late labels, sparse features, or drift while understanding how bids shape training data
- End-to-end model ownership from data discovery through deployment and monitoring
- Expert proficiency in Python and SQL
Qualifications
- Experience spending real ad budgets in live auctions
- Familiarity with large-scale ranking or recommendation systems
- Skill in explaining technical tradeoffs to non-technical partners in plain terms
- Background in designing for auction feedback loops, selection bias, and exploration
- Hands-on neural network work involving embeddings of text, creative, or user behavior
- Familiarity with AWS tools for data science including ECS, S3, Athena, and SageMaker
- Experience with CI/CD deployment
Core Skills
Benefits
- Base salary set according to market rates for the nearest major metro based on the company's Levels Framework
- Profit-sharing bonus
- Competitive benefits package
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, Launch Potato is a remote-first team, though most of the company operates on East Coast hours.
What is the employment type?
This is a full-time, hands-on individual contributor role.
What are the core technical requirements for the role?
Applicants must have at least five years of applied data science experience with measurable business impact, models that directly drove paid media decisions, end-to-end model ownership capabilities, and expert proficiency in Python and SQL.
How is the salary determined for this position?
The base salary is set according to market rates for the nearest major metro and varies based on the Launch Potato Levels Framework, alongside a profit-sharing bonus and competitive benefits.
What does success look like by the end of the first year?
Success includes running click wall serving that matches users to the right carrier, operational carrier conversion data in production models, scaled automated marketplace bidding, and robust production models resilient to drift.
Sample Interview Questions
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