Staff Data Scientist - Lead Gen & Media Buying

Launch Potato; United States; Hybrid; USD 175,000 - 200,000; Full time

Job summary

Launch Potato is a remote-first company seeking an experienced data scientist to build models that decide which carrier an auto insurance shopper sees on our click wall, optimizing for conversion and ROAS.

You'll own models end-to-end—from data discovery through deployment and monitoring—collaborating with an ML engineer on production. The role emphasizes remote work with East Coast hours and a strong, data-driven culture.

Qualifications

• 5+ years of hands-on applied data science with measurable business impact.
• Models that drive paid media decisions: spend, bidding or ad serving; attribution alone doesn't qualify.
• Explain model choices down to the loss function and architecture.
• End-to-end ownership: you find your data, build through deployment and monitoring.
• Expert Python and SQL.

Responsibilities

• Build models to match users to carriers on the click wall.
• Own buying models behind media spend and ROAS.
• Frame business problems, find data, and deploy/monitor models.
• Collaborate with an ML engineer on production systems.
• Work remotely with East Coast hours.

Skills

Python

SQL

Data Science

Paid media

Modeling end-to-end

Late labels handling

Bidding systems

Tools

AWS

ECS

S3

Athena

SageMaker

Job description

Launch Potato is a remote-first company seeking an experienced data scientist to build models that decide which carrier an auto insurance shopper sees on our click wall, optimizing for conversion and ROAS.

You'll own models end-to-end—from data discovery through deployment and monitoring—collaborating with an ML engineer on production. The role emphasizes remote work with East Coast hours and a strong, data-driven culture.