Senior Intelligent Systems Developer

Há 5 dias

São Paulo, São Paulo, Brasil beBeeDataScience Tempo inteiro R$90.000 - R$120.000
Key Data Science Role

We are seeking a skilled Data Scientist to join our AI Optimization team. As a Data Scientist, you will design and optimize intelligent systems that power core product experiences, transforming rich data into models that drive automation, personalization, and smart decision-making at scale.

This role combines applied science and analytics, focused on building adaptive ML systems that evolve continuously and make a tangible impact.

  • We work across the entire machine learning spectrum – from traditional statistical models to cutting-edge agentic systems.
  • We collaborate with distributed, cross-functional teams of Engineers, Data Scientists, and Analysts in a culture that values open discussion and intellectual honesty.
  • We experiment with emerging techniques to push the boundaries of real-world AI capabilities and system optimization.
  • We value curiosity and ownership – the mindset of a researcher with the maturity to own both problems and outcomes.

Key Responsibilities

  • Design and optimize machine learning models that power core product experiences and drive business outcomes.
  • Develop statistical frameworks for A/B testing, performance monitoring, and measuring model effectiveness.
  • Research and implement cutting-edge techniques to enhance model accuracy, speed, and reliability.
  • Collaborate with product teams to optimize user experiences and translate insights into business strategy.
  • Build evaluation pipelines to continuously monitor and improve model performance in production.

Requirements

  • Strong statistical and machine learning foundation with experience in experimental design, hypothesis testing, and model optimization.
  • Python proficiency with data science libraries (pandas, scikit-learn, numpy, scipy).
  • Machine learning expertise across supervised, unsupervised, and reinforcement learning approaches.
  • SQL skills for data extraction, analysis, and feature engineering.
  • Communication skills to translate analytical findings into clear business insights.
  • Ability to communicate and debate in English.

Nice to Have

  • App optimization experience with multi-armed bandits (MAB), recommendation systems, or personalization algorithms.
  • Analytics platform experience with tools like Amplitude or similar product analytics platforms.
  • MLOps familiarity with tools like MLflow for model tracking and experimentation.
  • Experience with BigQuery for large-scale data analysis.
  • Agentic frameworks experience with LangChain or similar tools for AI system development.

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