Lead Data Scientist, Lead Gen & Media Bidding (Remote)

Launch Potato; Argentina; Hybrid; ARS 106,019,000 - 181,747,000; Full time

Job summary

Launch Potato is seeking an experienced ML/Data Scientist to build production models that optimize insurance carrier selection and media bidding. You will own end-to-end modeling from data discovery to deployment, collaborating with an ML engineer for production workflows.

You'll tackle sparse sessions, delayed outcomes, and drift, framing problems with the business and delivering measurable impact in a remote-first, East-Coast-aligned team.

Qualifications

• 5+ years of hands-on data science with measurable business impact.
• Models used to drive paid media decisions: spend, bidding or ad serving.
• Explain loss function and architecture choices, including neural networks.
• Understand how bids shape training data, late labels, or drift.
• Own models end to end: data discovery, building, deployment and monitoring.
• Expert Python and SQL.

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, optimized for ROAS.
• Frame problems directly with the business and validate data for production.
• Collaborate with an ML engineer on the production side.
• Expand scope to other verticals over time.

Skills

Applied data science

Python

SQL

Modeling for paid media

End-to-end ML lifecycle

Handling late labels & drift

Tools

AWS SageMaker

ECS

S3

Athena

Job description

Launch Potato is seeking an experienced ML/Data Scientist to build production models that optimize insurance carrier selection and media bidding. You will own end-to-end modeling from data discovery to deployment, collaborating with an ML engineer for production workflows.

You'll tackle sparse sessions, delayed outcomes, and drift, framing problems with the business and delivering measurable impact in a remote-first, East-Coast-aligned team.