Launch Potato is hiring a
Senior Data Scientist

Summary

Join our team at Launch Potato and contribute to the growth of our data science team by developing deep personalization models for our users and complex optimization algorithms. As a hands-on Data Science role, you will be heavily immersed in the data and coding part of the solution implementation.

Requirements

• 4+ years of related work experience in the field of 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, Python and 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)
• Experience managing a team of data scientists and machine learning researchers (including career development)
• Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders

Responsibilities

• Develop deep personalization models for our users
• Design and oversee integrating state-of-the-art machine learning solutions across the company’s products
• Strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams
• Analysis of potential impact and prioritization of 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 the implementation of 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

Benefits

• Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework
• Profit-sharing bonus
• Competitive benefits