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 determine which carrier each auto insurance shopper sees on our click wall, maximizing conversion and carrier bids.
You will also own the buying models behind our media spend, which are held to ROAS, and put carrier conversion data to work in production.
This individual contributor role requires you to frame problems directly with the business, source your own data, and follow models through deployment and monitoring with an ML engineer.
This is a remote-first position where most of the company works East Coast hours. Base salary ranges from $175,000 to $200,000 per year, paid semi-monthly.
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 repeat users and sparse sessions
- Ensure production models withstand drift and changing objectives
- Deliver outputs that the business trusts and uses without rework
Qualifications
- 5+ years of hands-on applied data science with measurable business impact
- Experience driving paid media decisions such as spend, bidding, or ad serving with models (attribution and reporting alone do not qualify)
- Ability to explain resume projects down to the loss function, architecture choice, and neural network fundamentals
- Experience handling late labels, sparse features, drift, and understanding how today's bids shape tomorrow's training data
- End-to-end model ownership from sourcing data to deployment, monitoring, and bringing a point of view
- Expert Python and SQL skills
Nice to have
- Experience managing real ad budgets in live auctions
- Background in 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 between $175,000 and $200,000 per year
- Profit-sharing bonus
- Competitive benefits package
- Performance-driven compensation and growth opportunities
Job details
- Location: Remote-first (team operates primarily on East Coast hours)
- Compensation: $175,000 to $200,000 per year base salary, paid semi-monthly, plus profit-sharing bonus
About the company
Launch Potato is the discovery and conversion company, reaching tens of millions of people monthly through brands like FinanceBuzz, All About Cookies, and OnlyInYourState.
We create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment.
We run profitable and bootstrapped with a South Florida HQ and a remote-first team across 18 countries.
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.
