Staff Applied Scientist, AdTech & ROAS, Remote

Launch Potato; United States; On-site; USD 175,000 - 200,000; Full time

Job summary

Launch Potato, a profitable digital media company with a remote-first team, is seeking a data scientist to own the Insurance vertical's modeling from problem framing to live ROAS performance.

You will be deeply involved in data, modeling, and deployment, partnering with ML engineering to hand off to production and monitor results. The role emphasizes measurable revenue growth and cross-brand impact.

Qualifications

• 5+ years in hands-on data science delivering business impact.
• Experience in digital or leadgen marketing.
• Building and deploying ML solutions in AWS.
• Expert Python and SQL.
• Strong modeling fundamentals to drive ROAS.

Responsibilities

• Own end-to-end data science engine for a priority vertical.
• Develop models to optimize ROAS and media efficiency.
• Collaborate with ML engineering for deployment.
• Partner with vertical stakeholders.
• Identify new modeling opportunities.

Skills

Digital marketing

Performance marketing

Leadgen modeling

AWS ML

Python

SQL

Ad ranking models

Reinforcement learning

ROAS optimization

Tools

AWS

Looker

Job description

Launch Potato, a profitable digital media company with a remote-first team, is seeking a data scientist to own the Insurance vertical's modeling from problem framing to live ROAS performance.

You will be deeply involved in data, modeling, and deployment, partnering with ML engineering to hand off to production and monitor results. The role emphasizes measurable revenue growth and cross-brand impact.