# Staff Applied Scientist, AdTech

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

Canonical page: https://career.thegoodapps.co/jobs/53436f6b-1e7a-482b-9509-7e76527f2461

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

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

## Summary

This is a hands-on applied scientist role building machine learning models for a performance marketing company's ad targeting and lead generation engine. The role suits someone with deep experience shipping ML systems in production who thrives owning problems from business framing through model deployment and wants to drive direct revenue impact.

_Our summary, not Launch Potato's wording._

## Skills named

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

## Required

- 5+ years hands-on applied data science delivering business impact
- Experience in digital marketing, performance marketing, or leadgen
- Building adtech algorithms for user acquisition or paid media modeling
- Strong modeling fundamentals with measurable business outcomes
- Multi-year hands-on experience building and deploying ML in AWS
- Expertise in multi-armed bandits and reinforcement learning
- Experience with recommendation and ranking systems
- Funnel and monetization optimization experience
- LTV modeling
- Expert proficiency in Python and SQL

## Nice to have

- Sophisticated ML work at companies where paid digital media is core to the business
- Creative embeddings work with creative assets and search signals
- Insurance domain experience
- State-of-the-art ad ranking algorithms
- Modeling against ad-platform data from Google, Meta, and native platforms
- LLMs and deep learning applied to personalization or content
- Familiarity with Looker

Apply on Launch Potato's site: https://launchpotato.com/careers-list?gh_jid=6105624004