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Data Scientist Specialist (Lending)

6 days, 14 hours ago
Brazil
Full-time
Lead
Data Scientist
Data Science and Analytics
Apache Spark AWS Azure Databricks Feature Engineering Git Machine Learning Matplotlib MLOps NumPy Pandas Python Scikit-learn SQL Statistics
Apply Now
RecargaPay

RecargaPay

RecargaPay is a fintech company offering essential financial services through an app, simplifying bill payments, Pix transfers, mobile recharges, and transportation card top-ups for users.

Capital Markets
251-1K
Founded 2010
$135M raised
View All Jobs 10

Description

  • Develop and implement real-time scoring models to assess the risk of transactions and credit operations.
  • Build predictive models using internal and third-party data to improve user onboarding and reduce losses.
  • Evolve static rule engines into dynamic, graph-based rule systems.
  • Lead the adoption of new data technologies such as Databricks and Data Catalogue.
  • Analyze large volumes of transactional, behavioral, and demographic data to identify risk patterns and improvement opportunities.
  • Develop fingerprinting and geographic tracking solutions to strengthen risk assessment.
  • Mentor team members and provide technical leadership on key projects.
  • Monitor credit model performance, with a focus on stability and accuracy.

Requirements

  • Strong proficiency in Python, SQL, and Spark.
  • Experience with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
  • Familiarity with Databricks, AWS, and Azure.
  • Experience using Git for version control and collaboration.
  • Demonstrated experience building and implementing machine learning models.
  • Deep knowledge of classification, regression, and clustering algorithms.
  • Experience with feature engineering, model selection, and model explanation techniques such as SHAP, bivariate analysis, and weight of evidence.
  • Ability to write efficient SQL queries and work with large datasets.
  • Strong understanding of A/B testing, statistics, experimental design, and statistical significance.
  • Basic knowledge of predictive modeling metrics such as AUC, KS, precision, and recall.
  • Knowledge of data modeling principles and experience building scalable data models.
  • Strong problem-solving and mathematical skills.
  • Ability to research existing solutions and adapt them to new contexts.
  • Ability to translate technical findings into clear business insights for technical and non-technical audiences.
  • Willingness to work collaboratively in a dynamic environment.
  • Proficiency with PySpark for distributed processing in large-scale environments is a plus.
  • Experience with MLOps is a plus.
  • Familiarity with production model monitoring is a plus.
  • Exposure to Open Finance, credit bureau data, or behavioral features is a plus.
  • Previous experience in fintech or financial services is a plus.

Benefits

  • Competitive, market-aligned salary.
  • 100% remote work from anywhere.
  • Home office allowance paid monthly through the RecargaPay app.
  • Health and dental plans with no co-pay.
  • Life insurance.
  • Flexible meal allowance via Flash.
  • TotalPass membership for health and wellness.

Interested in this position?

Apply directly on the company website

Apply Now

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