Senior Data Scientist

Topaz

Data Scientist analyzing structured and unstructured data to identify financial fraud patterns. Collaborating and developing machine learning models for security in financial issues at Topaz.

Posted 6/9/2026full-timeIndaiatuba • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

AWSDockerDynamoDBGrafanaNumpyPandasPythonScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Analyze structured and unstructured data to identify patterns of fraud and money laundering.
Develop Machine Learning models (classification, clustering, anomaly detection) for financial security problems.
Apply feature engineering, handle missing values, normalize data, and balance datasets.
Ensure proper dataset separation and validation, avoiding data leakage.
Create visualizations to communicate results to technical and non-technical audiences.
Experiment with and compare algorithms (Scikit-Learn, LightGBM, CatBoost, TensorFlow).
Query and explore data via SQL in distributed sources (Athena).
Handle structured data (CSV, Parquet) and unstructured data (JSON, images).
Prepare and transform data for modeling.
Version experiments and models with MLflow and DVC.
Monitor model performance in production (business metrics and ML metrics).
Detect and address data drift and concept drift with corrective actions.
Build and maintain model monitoring dashboards (Grafana or similar).
Configure alerts for performance degradation and operational anomalies.
Collaborate with the engineering team to define retraining and model versioning strategies.
Research new ML techniques and algorithms applicable to the domain.
Apply explainability (XAI) to support decision-making and regulatory compliance.
Contribute to technical documentation and team best practices.
Collaborate with engineering teams on model integration and deployment.

Requirements

What you’ll need

Current residence in São Paulo (you will need to attend the São Paulo or Indaiatuba office twice a week).
Strong knowledge of statistics, probability, and ML fundamentals.
Ability to interpret statistical results and translate evidence into business decisions.
Experience with classification, clustering, and anomaly detection.
Mastery of the ML lifecycle: feature engineering, training, validation, evaluation.
Frameworks: Scikit-Learn, LightGBM, CatBoost, TensorFlow.
Data manipulation with Pandas, NumPy, and PyArrow.
Visualization: Matplotlib, Seaborn, Plotly.
Advanced SQL and distributed databases (Athena).
Robust development in Python 3.12+.
Data structures, algorithms, and design patterns.
Testing with pytest; coverage and code quality.
S3, Athena, DynamoDB, Lambda.
Basic containerization knowledge with Docker.
Git for version control.
DVC for data and model versioning.
uv for Python environment management.
MLOps tools: MLflow, Metaflow.
Feature Stores and Model Registry.
Experience in fraud detection, anomaly detection, or financial security.
NLP or image processing (OpenCV, Pillow).
FastAPI for exposing models as a service.
AWS certifications (ML Specialty).

Benefits

Comp & perks

Holistic Well-being: Your well-being is fundamental. We take care of you and the ones you love with comprehensive health plans, because a healthy team is a team that transforms.
Development and Growth: Your career doesn’t stop. At Topaz, #Growth is constant. Through training programs and daily challenges, we provide you with the tools so your potential has no limits.
Flexibility and Balance: We believe in balance. Enjoy the flexibility you need to do your best with our hybrid work model and a day off on your birthday to celebrate as you deserve.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine Learningclassificationclusteringanomaly detectionfeature engineeringdata manipulationstatisticsPython 3.12+data structuresalgorithms

Soft Skills

interpret statistical resultstranslate evidence into business decisionscollaborate with engineering teamscontribute to technical documentationcommunicate results to technical and non-technical audiences

Certifications

AWS certifications (ML Specialty)