Senior Health Data Scientist leading complex data extraction and modeling for healthcare solutions at Inovalon. Collaborating with multidisciplinary teams to deliver data - driven insights.
About the role
- Data Scientist responsible for modeling and analyzing credit risk at CAIXA Consórcio. Utilizing data-driven insights to support strategic decision-making in credit operations.
Responsibilities
- Development of AI/ML Solutions: Design and maintain the roadmap of predictive models focused on Credit Risk, ensuring the scalability and accuracy required to support the goal of doubling the size of the operation.
- Technical and Methodological Autonomy: Lead the selection of technologies and methodologies (Python, SQL, Advanced Analytics, Azure Databricks), with autonomy to propose innovations and justify technical trade-offs in line with business objectives.
- Consultative Partnership and Influence: Work closely with Credit, Technology and LOB teams, influencing strategic decisions and translating complex data into executive guidance.
- Analytical Studies and Experimentation: Formulate hypotheses and conduct rigorous experiments (A/B tests, challenger models) to analyze the behavior of thin-file customers, delinquency, and portfolio performance.
- Technical Reference and Knowledge Leadership: Serve as a technical reference, promoting a data-driven culture, sharing best practices, and developing a high-impact team focused on analytical excellence.
Requirements
- Education: Strong academic background in quantitative fields such as Statistics, Mathematics, Economics, Engineering, Computer Science, or Physics.
- Postgraduate Studies: Specializations, Master's degrees or MBAs in Finance, Risk Management, Data Science or Applied Statistics are important differentiators for leadership positions.
- Languages: Fluent/advanced English
- Statistical Modeling: Proficiency in building Application, Behavior and Collection scoring models. Experience with Logistic Regression, Decision Trees and clustering techniques.
- Machine Learning and AI: Knowledge of more advanced algorithms such as Random Forest, XGBoost and Neural Networks to optimize predictive accuracy.
- Programming Languages/Tools: Proficiency in Python, R, Databricks and SQL.
- Banking Regulation: Deep knowledge of the Central Bank of Brazil (Bacen) regulations (such as resolutions related to IFRS 9/CPC 48, allowance for doubtful accounts and required capital).
Benefits
- Profit Sharing (PLR)
- Medical Insurance
- Dental Insurance
- Transportation Voucher
- Food Allowance
- Meal Voucher
- Private Pension
- Life Insurance
- Funeral Assistance
- Childcare/Nanny Assistance
- Wellhub (Gympass)
- Pharmacy Assistance
- Sick Leave Supplement
- Internet Allowance
- Home Office Allowance
- Mobility Allowance
- Day off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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