Data Modeling Specialist

2 semanas atrás

Brasil beBeeDataAnalyst Tempo inteiro R$120.000 - R$150.000
Key Role:

We are seeking a skilled Data Analyst to join our team.

The ideal candidate will be responsible for analyzing and improving data performance, designing and executing experiments related to decision strategies, and maintaining organized data structures and technical documentation.

About the Position:
  • Analyze the performance of data models, focusing on stability, accuracy, and business impact.
  • Support the design, execution, and analysis of A/B tests and other experiments related to decision strategies.
  • Maintain organized data structures and technical documentation.
  • Perform backtesting analyses using bureau data, identifying patterns and opportunities for segmentation.
  • Conduct exploratory data analysis to support new modeling initiatives or model updates.
  • Analyze and evaluate data features, including univariate, bivariate analysis and feature drift monitoring.
  • Assist 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.
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.

Culture and Benefits: We value autonomy, ownership, and a bias for action. We're looking for people who are curious, hands-on, and driven by impact. Our benefits include competitive salary, remote work, home office allowance, health and dental plans, life insurance, flexible meal allowance, and TotalPass membership.

Diversity & Inclusion: We believe that diverse perspectives and experiences make us more creative and stronger. We value the richness of each journey and the multiple ways of seeing the world.

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