Staff Data Scientist, Lead Generation
Launch Potato
Opportunity published from Greenhouse · applications stay with the original hiring source.
About the opportunity
Launch Potato is seeking a hands-on Applied Data Scientist to build the models that decide which carrier each auto insurance shopper sees on our click wall, driving predictable customer acquisition at scale.
You will own the buying models behind our media spend, utilize carrier conversion data in production, and handle challenges like sparse sessions, data drift, and feedback loops.
This is a remote-first individual contributor role working primarily East Coast hours. You will frame problems directly with the business, source your own data, build and validate models, and partner with an ML engineer for deployment and monitoring.
Key responsibilities
- Run our insurance marketplace media buying independently by day 60
- Build click wall serving that matches each user to the right carrier
- Integrate carrier conversion data into production models
- Scale automated marketplace bidding from proof of concept
- Handle repeat users, sparse sessions, drift, and changing objectives
- Deliver model outputs that the business trusts and uses without rework
- Broaden scope from auto insurance to other verticals over time
Qualifications
- 5+ years of hands-on applied data science with measurable business impact
- Experience building models that drove paid media decisions such as spend, bidding, or ad serving (attribution and reporting alone do not qualify)
- Ability to explain resume projects down to the loss function and architecture choice, including neural network fundamentals
- Experience handling late labels, sparse features, drift, and bidding impact on training data
- End-to-end model ownership from sourcing data to deployment and monitoring
- Expert proficiency in Python and SQL
Nice to have
- Real ad budget spent in live auctions
- Large-scale ranking or recommendation systems experience
- Ability to explain tradeoffs to non-technical partners in plain terms
- Experience designing for auction feedback loops, selection bias, and exploration
- Hands-on neural network work, including embeddings of text, creative, or user behavior
Benefits
- Base salary of $175,000 to $200,000 per year, paid semi-monthly
- Profit-sharing bonus
- Competitive benefits package
- Performance-driven compensation with future increases based on company and personal performance
Job details
- Location: Remote-first team across 18 countries (most of the company works East Coast hours)
Base Salary
- $175,000 to $200,000 per year, paid semi-monthly
About the company
Launch Potato is the discovery and conversion company, reaching tens of millions of people every month through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for partners in finance, travel, and entertainment.
We operate profitably and bootstrapped, featuring a South Florida HQ and a remote-first team. We measure work by impact rather than activity, maintaining a direct and respectful feedback culture.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
Key details from the source
- AWS experience for data science including ECS, S3, Athena, and SageMaker
- CI/CD deployment experience
Full listing
UpVagas condensed repetitive or legal boilerplate to make this page easier to read. The original hiring source contains the complete job description.
