Staff Data Scientist: Insurance Marketplace

Launch Potato; Valparaíso; Remote; CLP 117,878,000 - 176,817,000; Full time

Job summary

Launch Potato seeks a senior data scientist to build and operate ML models that optimize insurance marketplace decisions. You will frame problems, source data, and own models from development through deployment, working with an ML engineer on production integration.

The role starts with auto insurance and expands to other verticals, with a remote-first culture across multiple regions.

Qualifications

• 5+ years of hands-on applied data science with measurable business impact.
• Models drove paid media decisions: spend, bidding or ad serving.
• Explain loss functions and architecture choices in detail.
• Understand how bids shape training data, late labels, and drift.
• Own end-to-end models from data gathering to deployment and monitoring.
• Expert Python and SQL.

Responsibilities

• Frame business problems and identify data sources for solutions.
• Build, validate, and deploy ML models in production.
• Monitor models and address drift and changing objectives.
• Collaborate with ML engineers on production integration.
• Lead auto insurance initiatives with expansion to other verticals.

Skills

Python

SQL

Applied data science

Modeling

Data science best practices

Tools

AWS SageMaker

ECS

S3

Athena

Job description

Launch Potato seeks a senior data scientist to build and operate ML models that optimize insurance marketplace decisions. You will frame problems, source data, and own models from development through deployment, working with an ML engineer on production integration.

The role starts with auto insurance and expands to other verticals, with a remote-first culture across multiple regions.