DATA SCIENTIST III - ANALYTICS & MODELING - INTER PAG

About the Role and Mission

We are looking for a Senior Data Scientist - Analytics & Modeling to strengthen our Data & Analytics team. Your mission will be to develop the area's first data science models, transforming data into strategic insights that drive business decisions and acting as a technical reference. You will build bridges between statistical analysis, predictive modeling, and the needs of the Corporate, Products, Pricing, and Commercial departments—delivering studies and models that generate real and measurable value for the organization.

This is a strategic role with the challenge of pioneering the construction of the data science area while ensuring the quality of current analyses. If you are passionate about solving complex problems, have a winning mindset, and constantly seek excellence, your place is here.

Responsibilities

• Develop data science models from scratch (churn, segmentation, propensity, scoring, forecasting).
• Write complex SQL queries to investigate customer base behavior and product performance.
• Perform financial analyses and studies that support strategic decisions of the board.
• Act as a strategic partner to commercial planning, commercial, product, and operations areas.
• Translate business problems into analytical solutions and predictive models.
• Present results and recommendations to stakeholders at different levels.
• Implement and manage models in AWS SageMaker.
• Support pricing studies and profitability analyses.

Requirements

Mandatory:

• Education in quantitative fields (Statistics, Mathematics, Economics, Engineering, Computer Science, or related).
• Advanced SQL (complex queries, CTEs, window functions, optimization).
• Python for data science (Pandas, NumPy, Scikit-learn, Statsmodels).
• Advanced Excel for financial analyses and modeling.
• Experience working with multiple stakeholders at different levels.
• Ability to communicate technical results to non-technical audiences.
• Autonomy to act as a data science reference in the area.

Desirable:

• Knowledge of AWS SageMaker.
• Experience with predictive modeling (churn, segmentation, scoring, pricing).
• Experience in acquiring or financial sectors.
• Mastery of financial concepts (P&L, profitability).
• Experience with executive presentations (PowerPoint).