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 standards.
This is a remote-first individual contributor role operating primarily on East Coast hours.
You will frame problems directly with the business, source your own data, and guide models from development through deployment and monitoring, working alongside an ML engineer on the production side.
Job details
- Base salary: $175,000 to $200,000 per year, paid semi-monthly, with compensation set according to market rates for the nearest major metro via Launch Potato’s Levels Framework.
Key responsibilities
- Run insurance marketplace media buying independently by day 60.
- Build click wall serving that matches each user to the correct carrier.
- Integrate carrier conversion data into production models.
- Scale automated marketplace bidding from proof of concept.
- Develop approaches for repeat users and sparse sessions.
- Maintain production model stability through market drift and changing objectives.
- Deliver trusted business outputs without requiring 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 your models.
- Direct experience building models with the ability to explain loss functions, architecture choices, and neural network fundamentals.
- Experience handling late labels, sparse features, drift, and understanding how bids shape training data.
- End-to-end ownership of models from data sourcing through deployment and monitoring.
- Expert-level skills in Python and SQL.
Nice to have
- Experience managing real ad budgets in live auctions.
- Work with large-scale ranking or recommendation systems.
- Ability to explain technical tradeoffs to non-technical partners in plain terms.
- Experience designing for auction feedback loops, selection bias, and exploration.
- Hands-on neural network experience including embeddings of text, creative, or user behavior.
Benefits
- Profit-sharing bonus.
- Competitive benefits package.
- Performance-driven compensation and career growth opportunities.
About the company
Launch Potato is a profitable, bootstrapped discovery and conversion company with a South Florida HQ and a remote-first team across 18 countries.
We reach tens of millions of monthly users through category-leading consumer brands including FinanceBuzz, All About Cookies, and OnlyInYourState, turning attention into high-value customer acquisition outcomes for global partners.
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
- Experience with CI/CD deployment.
Full listing
UpVagas condensed repetitive or legal boilerplate to make this page easier to read. The original hiring source contains the complete job description.
