Data Science and Machine Learning Specialist – AI Platform
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Job Description
Data Science Specialist developing robust models to automate financial decisions in a fintech. Focusing on credit risk modeling, feature engineering, and end-to-end model production.
Responsibilities:
- Develop and evolve robust models that automate decisions and generate financial efficiency.
- Focus on advanced credit and risk modeling, unified scoring (retail and corporate customers) and feature engineering & feature store.
- Build and refine predictive models for credit/risk, propensity, delinquency, fraud, or operational efficiency (as prioritized).
- Design features and selection/transformation strategies, working closely with the data and engineering teams.
- Define and execute robust validations (offline/online), ensuring generalization and stability.
- Implement model monitoring (drift, stability, calibration, performance) and investigate degradations.
- Contribute to a unified score: metric consistency, comparability across segments and governance.
- Translate results into actionable decisions, estimating impact (uplift, losses avoided, savings).
- Document models (assumptions, limitations, risks, approval criteria) and support technical reviews.
Requirements:
- Strong experience with Python (pandas, sklearn and/or equivalent libraries) and SQL.
- Solid foundation in statistics, supervised modeling and evaluation (AUC/KS, calibration, risk metrics).
- Experience with large-scale data (Databricks/Spark or equivalent).
- Knowledge of monitoring/stability (PSI, drift, retraining triggers).
- Ability to work end-to-end with a focus on production and impact.
- Experience with XGBoost/LightGBM, ranking models, survival models, or advanced techniques applied to risk/credit.
- Experience with explainability (SHAP), fairness and audit requirements.
- Experience with MLOps (MLflow, model registry, automated pipelines, deployment).
- Experience with feature stores and/or real-time inference.
- Experience with experimentation (A/B testing, bandits) and scenario simulation.
- Analytical profile with a focus on quality and robustness.
- Clear communication (technical storytelling → business).
- Autonomy and ownership mentality (investigate, propose and implement improvements).
- Collaboration with Product, Engineering and Credit/Risk areas.
- Pragmatism: balance accuracy, deadlines, risk and impact.
Benefits:
- Monthly allowance to give you some extra support;
- Up to 15 days of leave per year to recharge;
- Health insurance with copay — and best of all: the company covers 100% of the monthly premium;
- TotalPass to keep active and take care of your body;
- Star Bem and Avus — health platforms and discounts to support your wellness journey;
- Day off on your birthday month to enjoy your way;
- R$ 50 voucher to celebrate however you like;
- Annual bonus — because growing together is better!
- No dress code and much more!
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