# Lead Applied Scientist, Marketing

Hiring organization: [Launch Potato](https://career.thegoodapps.co/organizations/launch-potato)

Canonical page: https://career.thegoodapps.co/jobs/6758648b-b6cb-47c0-86a8-307879ae3fec

Listed on Launch Potato's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: United States (remote)
- Remote: yes

## Summary

This role owns the machine learning strategy for a marketing vertical at a performance-focused lead generation platform, building models that optimize customer acquisition cost and return on ad spend. It suits data scientists with 5+ years shipping ML solutions in production, who thrive on full-stack ownership from problem definition through deployed performance, and who think in terms of business metrics first.

_Our summary, not Launch Potato's wording._

## Skills named

Amazon Web Services (AWS), Python, Reinforcement Learning, SQL

## Required

- 5+ years hands-on applied data science role with measurable business impact
- Proven experience in digital marketing, performance marketing, or leadgen
- Building adtech algorithms and user acquisition or paid media models
- Strong modeling fundamentals that drive business outcomes
- Multi-year hands-on experience building and deploying ML solutions on AWS
- Expert Python and SQL proficiency
- Experience with multi-armed bandit and reinforcement learning techniques
- Experience with recommendation and ranking systems
- Hands-on funnel and monetization optimization
- LTV modeling experience

## Nice to have

- Sophisticated ML work at companies where paid digital media is core to business model
- Creative embeddings work incorporating creative and content into paid media models
- Insurance domain experience
- State-of-the-art ad ranking algorithm experience
- Modeling with ad platform data (Google, Meta, native)
- LLM or deep learning applied to personalization or content
- Looker familiarity

Apply on Launch Potato's site: https://launchpotato.com/careers-list?gh_jid=6105622004