About the Role
This is a hands-on role leading the full data science lifecycle for a priority business area, from defining problems with stakeholders to deploying models and monitoring live performance, with a focus on measurable impact and continuous improvement.
Responsibilities
- Lead the complete data science workflow for a high-priority vertical, from identifying business challenges to deploying models and tracking real-time ROAS, directly influencing revenue and media efficiency.
- Collaborate directly with stakeholders to define business problems, develop and validate models, transition the final ML engineering phase to a dedicated partner, and remain involved through deployment, monitoring, and performance evaluation.
- Initial focus will be on Insurance and Advertiser Quality, with opportunities to expand scope over time.
- Use Return on Ad Spend (ROAS) as the central performance metric for all modeling initiatives.
Work Arrangement
Remote (Worldwide) — South Florida, over 15 countries
Team
Remote-first team spanning over 15 countries with headquarters in South Florida
WHO ARE WE?
- Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
- As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
- Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
YOUR ROLE
- Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
- This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.
- You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time.
- Your primary metric is ROAS.
OUTCOMES
- Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact
- Deliver buying models that maintain positive ROAS and quality
- Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth
- Establish trusted, direct partnership with vertical business stakeholders
- Produce trusted output: validated, documented, low correction burden
- Identify and leverage net-new modeling opportunities the business has not flagged
COMPETENCIES
- Business-first framing: Starts with the problem and the metric, not the model.
- Full-stack ownership: Stays engaged from problem definition through deployed performance
- Proactive communication: Closes loops without being chased
- Collaborative: Leans on ML engineering for the last mile rather than working solo
- Coachable: Seeks feedback and turns it into visible behavior change
- Curiosity paired with delivery discipline
NICE TO HAVES
- Sophisticated ML at companies where paid digital media is core to the business model
- Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
- Insurance domain experience
- Creating state-of-the-art Ad Ranking algorithms
- Modeling against ad-platform data points (Google, Meta, native)
- LLMs / deep learning applied to personalization or content
- Familiarity with Looker
