Staff Applied Scientist, AdTech — Insurance Marketplace ML

Launch Potato; Argentina; Hybrid; ARS 136,310,000 - 227,183,000; Full time

Job summary

Launch Potato is a remote-first company with a South Florida HQ and a distributed team across 18 countries. You will build models that optimize which carrier a shopper sees on our marketplace, aiming to maximize ROAS and conversion.

You will own data science from data discovery through deployment and monitoring, with an ML engineer collaborating on production integration. You’ll focus on auto insurance initially, expanding to other verticals over time, and operate in a fast-paced environment

Qualifications

• 5+ years of hands-on applied data science with measurable business impact.
• Models drove paid media decisions: spend, bidding or ad serving.
• Explainable model decisions, including loss function and architecture choices.

Responsibilities

• Build and validate models that optimize insurance carrier matching on our media platform.
• Own end-to-end ML workflows from data gathering to deployment and monitoring.
• Collaborate with ML engineers on production integration and drift management.
• Shape data inputs and features to improve bid decisions and ROAS impact.

Skills

Applied data science

Python

SQL

Model deployment

Marketing analytics

Tools

AWS

Job description

Launch Potato is a remote-first company with a South Florida HQ and a distributed team across 18 countries. You will build models that optimize which carrier a shopper sees on our marketplace, aiming to maximize ROAS and conversion.

You will own data science from data discovery through deployment and monitoring, with an ML engineer collaborating on production integration. You’ll focus on auto insurance initially, expanding to other verticals over time, and operate in a fast-paced environment