Lead Data Scientist, AdTech & Marketplace Bidding

LP Careers Page; Oregon; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Launch Potato is seeking a senior data scientist to build models that decide which carrier an auto insurance shopper sees on our click wall, with the goal of maximizing conversions and ROAS. You will own end‑to‑end modeling—from data discovery and feature engineering to deployment and monitoring—starting with auto insurance and expanding to other verticals; we are remote‑first, with East Coast hours.

You'll work closely with an ML engineer on the production side to ensure models stay robust

Qualifications

• 5+ years of hands‑on applied data science with measurable business impact.
• Your 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
• Expert Python and SQL

Responsibilities

• Build and validate models that decide which carrier a shopper sees on the click wall.
• Own the buying models behind media spend to optimize ROAS and conversions.
• Work on data integration: quotes, policies, and acquisition costs to inform production models.
• Collaborate with an ML engineer on production deployment and monitoring; start with auto insurance and expand to other verticals.

Skills

Python

SQL

Data Science

Modeling

Job description

Launch Potato is seeking a senior data scientist to build models that decide which carrier an auto insurance shopper sees on our click wall, with the goal of maximizing conversions and ROAS. You will own end‑to‑end modeling—from data discovery and feature engineering to deployment and monitoring—starting with auto insurance and expanding to other verticals; we are remote‑first, with East Coast hours.

You'll work closely with an ML engineer on the production side to ensure models stay robust