Provide technical leadership for modeling and analytics projects from conception through production deployment, ensuring technical quality and alignment with business objectives;
Define and promote best practices for feature engineering, feature architecture, and data structuring, raising the team's technical standards;
Analyze data to generate strategic insights across different business areas, identifying growth opportunities and emerging risks and translating findings into concrete decisions;
Develop, implement, and validate machine learning models and tools — such as scoring, propensity, churn, and segmentation models — serving as the technical reference for the team in selecting approaches and methodologies.
Requirements
Proficiency in Python and its data science libraries, as well as SQL and PySpark;
Strong foundation in statistics and machine learning, with the ability to select, justify, and document the best approach for each business problem;
Hands-on experience developing predictive features from structured and unstructured sources, including transactional and alternative data;
Experience with predictive modeling projects in high-scale, complex environments — including classification, regression, ranking, or optimization;
Solid experience with the Databricks platform;
Excellent communication skills to discuss complex results and influence decision-making with business and technology stakeholders.
Tech Stack
PySpark
Python
SQL
Benefits
🩺 Health and Dental Insurance
🏥 Vitta Digital Hospital: access to a multidisciplinary medical team, therapists and a health team available 24/7 for quick and convenient care
🥗 Meal Allowance and/or Food Voucher
💻 Remote Allowance + Initial Setup (exclusive to remote positions)
🕗 Flexible working hours
✏ Education Benefit
Internal platform with access to books, podcasts, trainings, and video lessons for self-development (Studa and StoneCo Library)
💪 Gympass
👶 Childcare Assistance
💰 Profit Sharing (PLR)
💚 Life Insurance
🚗 Transportation Voucher (exclusive to on-site positions)