Remote Modeling Analyst II (Data Scientist)

Description:

• The Modeling Analyst II (Data Scientist) position at RecargaPay focuses on delivering the best payment experience for Brazilian consumers and small businesses.
• The role involves monitoring and analyzing the performance of credit models, ensuring stability, accuracy, and business impact.
• Responsibilities include supporting the design, execution, and analysis of A/B tests related to credit decision strategies.
• The analyst will maintain organized data structures and technical documentation, perform backtesting analyses, and conduct exploratory data analysis for modeling initiatives.
• The position requires analyzing model features, building reusable analytical pipelines, and utilizing advanced SQL for handling large datasets.
• Proficiency in Python and experience with machine learning algorithms is essential.
• Familiarity with Databricks, Git, data visualization, and communication of technical findings into actionable insights is required.
• A solid understanding of A/B testing, predictive modeling metrics, and a strong analytical mindset is necessary.
• The candidate should have a passion for innovation and experience in data science activities.

Requirements:

• Advanced SQL skills are required to handle large datasets and write efficient queries.
• Proficiency in Python, particularly with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn, is necessary.
• Experience with machine learning algorithms like logistic regression, random forest, and gradient boosting is essential.
• Knowledge of model explanation techniques such as SHAP and bivariate analysis is required.
• Familiarity with Databricks and Git for version control and collaboration is necessary.
• Strong data visualization skills and the ability to communicate technical findings effectively are required.
• A solid understanding of A/B testing, experimental design, and statistical significance is essential.
• Basic knowledge of predictive modeling metrics such as AUC, KS, precision, and recall is required.
• The candidate should possess strong mathematical skills and an analytical mindset focused on problem-solving.
• Experience in data science-related activities is necessary.

Benefits:

• The position offers a competitive and market-aligned salary.
• Employees can work remotely, allowing flexibility in their work environment.
• A home office allowance is provided through a monthly deposit in the RecargaPay app.
• Health and dental plans are available with no co-pay.
• Life insurance is included as part of the benefits package.
• A flexible meal allowance is provided via Flash.
• Employees receive a TotalPass membership to support their health.
• Spanish or Portuguese classes are offered to enhance language skills.