Remote Senior Machine Learning Researcher
Launch Potato
πRemote - United States
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Job highlights
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 companyβs 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
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