Data Science Leader for Personalization and Optimization

hace 1 semana


Colombia Launch Potato A tiempo completo

At Launch Potato, we are seeking a seasoned Data Science professional to lead our personalization and optimization efforts. As a Senior Data Scientist, you will play a pivotal role in developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services.

About the Role

This is an extremely hands-on and in-the-weeds Data Science position where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company's products. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.

Key Responsibilities
  • Innovate, create, and design ML solutions to various business problems such as designing and implementing Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests, utilizing Large Language Models in content personalization across various verticals, and 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.
  • Be hands-on and in-the-weeds in the data, 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.).
  • Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders.
Compensation and Benefits

The base salary for this role is estimated to be around $140,000 per year, paid bi-monthly. The total compensation package includes a profit-sharing bonus and competitive benefits. Future increases will be based on company and personal performance.



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