Senior Data Scientist, AdTech & Media Bidding

Launch Potato; California; Remote; USD 175,000 - 200,000; Full time

Job summary

Launch Potato in the United States is seeking a senior data scientist to build models that determine which carrier an auto insurance shopper sees on our click wall. You will own the data-to-production pipeline, focusing on accuracy, drift handling, and ROAS-driven decisions.

This is a hands-on, individual contributor role with collaboration from an ML engineer on the production side. We are remote-first with East Coast hours, and you will shape models end-to-end from data discovery to deployment.

Qualifications

• 5+ years of hands-on applied data science with measurable business impact.
• Models drove paid media decisions: spend, bidding or ad serving. Attribution and reporting alone don't qualify.
• You built what's on your resume and can explain it down to the loss function and architecture choice, neural network fundamentals included.
• You see how today's bids shape tomorrow's training data, and you've handled late labels, sparse features or drift.
• You own models end to end: you find your own data, build through deployment and monitoring, and bring a point of view.

Responsibilities

• Build the models that decide which carrier each auto insurance shopper sees on our click wall.
• Own the buying models behind our media spend, held to ROAS.
• Put carrier conversion data back into production models and optimize drift handling.
• Frame problems with the business and stay with the model through deployment and monitoring.

Skills

Hands-on data science

Python

SQL

Model deployment

Tools

AWS SageMaker

Job description

Launch Potato in the United States is seeking a senior data scientist to build models that determine which carrier an auto insurance shopper sees on our click wall. You will own the data-to-production pipeline, focusing on accuracy, drift handling, and ROAS-driven decisions.

This is a hands-on, individual contributor role with collaboration from an ML engineer on the production side. We are remote-first with East Coast hours, and you will shape models end-to-end from data discovery to deployment.