Remote Staff Data Scientist - End-to-End ML for ROAS (Columbus)

Launch Potato, a remote-first digital media company, is seeking a data science leader to own the end-to-end ML engine for a priority vertical. You will drive ROAS-driven models from problem framing to deployment, engaging with stakeholders and ML engineers through the full lifecycle. You will start with Insurance and Advertiser Quality, delivering measurable revenue improvements and higher media efficiency while expanding scope with the business. J-18808-Ljbffr

Data drives every decision we make. As a member of our analytics team, you will help us unlock the value hidden in our data. You'll build models, create dashboards, and present findings that directly influence our strategic roadmap.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.