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