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, maximizing conversion rates and partner bids.
You will also own the buying models behind our media spend, which are held to strict return on ad spend targets.
This is a remote-first individual contributor role where you will frame problems directly with the business, source data, build and validate models, and manage them through deployment and monitoring alongside a dedicated machine learning engineer.
Auto insurance will be your primary focus initially, with scope expanding to other verticals over time.
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 clear strategies for repeat users and sparse sessions
- Maintain robust production models through data 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
- Experience driving paid media decisions such as spend, bidding, or ad serving with models
- Proven ability to build models from scratch and explain technical choices down to loss functions and neural network fundamentals
- Experience handling late labels, sparse features, data drift, and feedback loops where today's bids shape tomorrow's training data
- End-to-end model ownership from data sourcing to deployment and monitoring
- Expert proficiency in Python and SQL
Nice to have
- Real ad budget managed in live auctions
- Experience with large-scale ranking or recommendation systems
- Ability to explain technical tradeoffs to non-technical partners in plain terms
- 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
Base Salary
- $175,000 to $200,000 per year
- Location: Remote-first team across 18 countries (working primarily East Coast hours)
About the company
Launch Potato is the discovery and conversion company, reaching tens of millions of people every month through leading consumer brands including FinanceBuzz, All About Cookies, and OnlyInYourState.
We connect discovery, intent, and performance to create predictable, high-value customer acquisition at scale in finance, travel, and entertainment.
We operate as a profitable, bootstrapped company with a South Florida headquarters and a remote-first global team. We measure work by impact, foster direct feedback, and provide an environment where 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
- AWS experience for data science including ECS, S3, Athena, and SageMaker
Full listing
UpVagas condensed repetitive or legal boilerplate to make this page easier to read. The original hiring source contains the complete job description.
