Data-Driven Insights Specialist

Há 4 dias

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro US$1.500.000 - US$4.000.000
Drive Impact with Data-Driven Insights

We're on a mission to deliver exceptional payment experiences that transform the lives of Brazilian consumers and small businesses.

Our digital ecosystem empowers connections between the banked and unbanked, providing a one-stop shop for all financial needs. We serve over 10 million users and process more than $4 billion annually, achieving profitability since 2022 while operating our own credit business.

Our team is AI-first and 100% remote, scaling in the rapidly changing Brazilian financial market. We value autonomy, ownership, and a bias for action, seeking individuals who are curious, hands-on, and driven by impact.

If you're ready to do your best work at scale with purpose, this is your opportunity to make a difference.

Key Responsibilities

As a Modeling Analyst, you will be responsible for:

  • Monitoring and analyzing credit model performance, focusing on stability, accuracy, and business impact.
  • Supporting the design, execution, and analysis of A/B tests and other experiments related to credit decision strategies.
  • Maintaining organized data structures and technical documentation (data books, variable dictionaries, version control).
  • Performing backtesting analyses using bureau data, identifying patterns and opportunities for segmentation.
  • Conducting exploratory data analysis to support new modeling initiatives or model updates.
  • Analyzing and evaluating model features, including univariate, bivariate analysis and feature drift monitoring.
  • Assisting in building reusable analytical pipelines for scalable and sustainable insights.

Required Skills

  • Advanced SQL: ability to handle large datasets and write efficient, optimized queries.
  • Python: experience with libraries like Pandas, NumPy, Matplotlib, and Scikit-learn.
  • Experience with ML algorithms: logistic regression, random forest, gradient boosting, etc.
  • Models explanation: SHAP, bivariate analysis, weight of evidence, etc.
  • Databricks: familiarity with collaborative notebooks, workflows, and Delta Lake integration.
  • Git: version control, repository organization, and collaboration best practices.
  • Data visualization and communication: ability to translate technical findings into actionable business insights.
  • A/B testing and statistics: solid understanding of experimental design and statistical significance.
  • Basic knowledge of predictive modeling: understanding of metrics such as AUC, KS, precision, and recall.
  • Analytical mindset and results-oriented, with a strong focus on problem-solving.
  • Passion for innovation and experimentation.
  • Knowledge of data modeling principles and experience in building robust and scalable data models.
  • Strong mathematical skills and ability to optimize complex problems.
  • Experience in activities related to data science.

Bonus Points

  • Proficiency with PySpark for distributed data processing in large-scale environments.
  • Experience with MLOps in machine learning projects.
  • Familiarity with model monitoring in production environments.
  • Exposure to Open Finance, credit bureau data, or behavioral features.
  • Previous experience in fintechs or financial services companies.

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