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.
The goal is to send every user to the carrier most likely to convert, increasing partner bids while owning the buying models behind our media spend that are held to ROAS.
You will put carrier conversion data to work in production, tackling challenges like delayed outcomes, sparse sessions, returning shoppers, market drift, and bid-dependent training data.
This individual contributor role requires you to frame problems with the business, source your own data, build and validate models, and manage deployment and monitoring alongside an ML engineer.
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
- Develop approaches for handling repeat users and sparse sessions
- Maintain production models through drift and changing objectives
- Deliver reliable model outputs that the business uses without rework
Qualifications
- 5+ years of hands-on applied data science with measurable business impact
- Proven experience driving paid media decisions such as spend, bidding, or ad serving with models
- Deep technical proficiency to explain resume projects down to loss functions and architecture choices, including neural network fundamentals
- Experience handling late labels, sparse features, drift, and auction feedback loops
- End-to-end model ownership from data sourcing through deployment and monitoring
- Expert Python and SQL skills
Nice to have
- Real ad budget spent in live auctions
- Large-scale ranking or recommendation systems
- 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 and career growth opportunities
Job details
- Location: Remote-first
Base Salary
- $175,000 to $200,000 per year
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 attention into real outcomes for partners by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment.
We are a profitable, bootstrapped company with a South Florida headquarters and a remote-first team distributed across 18 countries. We measure work by impact, maintain a fast pace, and foster direct, respectful feedback to help ordinary people make themselves extraordinary.
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
- We are a remote-first company with most team members working East Coast hours. This role focuses primarily on auto insurance initially, with scope broadening to other verticals over time.
- 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.
