Remote Senior Data Scientist, Performance Marketing

Summary

Join Launch Potato, a digital media company, as a Data Scientist to build machine learning models and drive significant consumer impact while increasing revenue.

Requirements

• 4+ years of related work experience in Data Science & Machine learning
• 2+ years of experience in the Marketing/Advertising Industry
• Solid background in Machine Learning and Statistics
• Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems
• Proficiency in SQL and Python, as well as working with data science tools (e.g., git, Kubernetes, Docker, etc.)
• Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals
• Experience creating ML solutions within cloud services (AWS/GCP)
• Experience with ML model development lifecycle
• Experience with data visualization (preferably Looker)
• Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders

Responsibilities

• Design and oversee integrating state-of-the-art machine learning solutions across the company’s products
• Strategically plan Machine Learning initiatives with the Product, Engineering, Performance, and Business Intelligence teams, analyzing potential impact, and prioritizing those projects
• Innovate, create, and design ML solutions to various business problems such as: Design, implement, and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB tests
• Utilizing Large Language Models in content personalization across various verticals
• Recommendation systems to serve ads, offers, questions, etc
• Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring
• Provide data science support at different project stages, including implementing ML solutions by collaborating with Data Engineers and MLOps
• Being hands-on and in-the-weeds in the data, coding part of the solution implementation

Preferred Qualifications

Experience with LLMs and Deep learning models to develop business and data science solutions directly impacting revenue and/or margin