Senior Data Scientist

Há 6 dias


Brasília, Distrito Federal, Brasil Launch Potato Tempo inteiro
Job Title: Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist to join our team at Launch Potato. 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.

Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue.

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:
  • 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.
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.)
Nice to Have:
  • Experience with LLMs and Deep learning models to develop business and data science solutions.

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