# Staff Data Scientist, Marketing

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

Canonical page: https://career.thegoodapps.co/jobs/c69bf586-0a36-4abe-8425-1be4c4c4f0d3

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 data science engine for a priority business vertical at a performance marketing company, building models that drive customer acquisition and media efficiency at scale. It suits someone with deep ML expertise and hands-on applied data science experience who can frame business problems, build validated models, and stay engaged through deployment and live performance monitoring.

_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
- Digital marketing, performance marketing, or leadgen industry experience
- Building adtech algorithms for user acquisition or paid media modeling
- Strong modeling fundamentals with proven business impact
- Multi-year hands-on ML solution building and deployment in AWS cloud
- Experience with multi-armed bandits, reinforcement learning, recommendation systems, funnel optimization, and LTV modeling
- Expert proficiency in Python and SQL

## Nice to have

- Sophisticated ML experience at companies where paid digital media is core to business
- Creative embeddings work (creatives, videos, headlines in paid media models)
- Insurance domain experience
- State-of-the-art Ad Ranking algorithm development
- Experience modeling against ad-platform data (Google, Meta, native)
- LLMs or deep learning applied to personalization or content
- Familiarity with Looker

Apply on Launch Potato's site: https://launchpotato.com/careers-list?gh_jid=6105623004