Mid-level Data Scientist

Overview

As a Data Scientist, your mission will go far beyond the numbers: you will be challenged to translate complex business needs into predictive models and intelligent solutions. In a strategic capacity, you will take a leading role in evolving our ecosystem of financial and digital products, creating direct, large-scale impact on our customers' lives.

Responsibilities

• Translate complex business needs into predictive models and intelligent solutions.
• Take a leading role in evolving our ecosystem of financial and digital products, creating direct, large-scale impact on our customers' lives.

Qualifications

• Conduct exploratory analyses of large volumes of transactional and behavioral data to uncover actionable insights and business opportunities.
• Build and deploy machine learning and deep learning models that address real problems such as fraud detection, recommendation systems, credit risk analysis, purchase propensity, churn prediction, and others.
• Validate hypotheses through controlled experiments using A/B testing methodologies and statistical analysis.
• Collaborate with product owners and engineers to translate business problems into robust, scalable analytical solutions.

Hard Skills

• Predictive Modeling
• Fraud Detection
• Recommendation Systems
• Credit Risk Analysis
• Churn Prediction
• Exploratory Data Analysis
• Data Visualization
• Data Mining
• Statistical Modeling
• Hypothesis Testing

Soft Skills

• Collaboration
• Communication
• Problem Solving
• Critical Thinking
• Leadership