Senior Data Scientist – Data, AI

Jobtailor; Porto Alegre; Presencial; BRL 200 000 - 350 000; Tempo integral

Resumo da oferta

Jobtailor in Porto Alegre, Brazil, seeks a data scientist to build, train and productionize ML models for fraud detection, and develop real-time scoring pipelines for risk decisions. You will monitor model performance, perform feature engineering on transactional and behavioral data, and collaborate with risk, product and engineering teams to balance fraud prevention with legitimate user experience.

You will explore generative AI as a tool for analysis and documentation, and mentor junior team

Qualificações

• Bachelor's degree in a data-related field and strong ML foundation.
• Autonomous end-to-end ML project experience from concept to production.
• Proficiency with Python and SQL for data analysis and modeling.
• Experience with classification and anomaly detection, handling imbalanced data.
• Knowledge of model evaluation metrics and MLOps best practices.

Responsabilidades

• Build, train and productionize ML models for fraud detection and prevention.
• Develop and maintain real-time scoring pipelines for risk decisions.
• Monitor model performance and drift; retrain when needed.
• Perform feature engineering on transactional and behavioral data.
• Collaborate with risk, product and engineering teams to balance fraud prevention and user experience.
• Explore generative AI as a support tool for analysis and documentation.
• Mentor junior team members and support architecture decisions.
• Work with ML engineers, data engineers and product owners on data-driven solutions.

Conhecimentos

Machine Learning

Python Proficiency

SQL Proficiency

MLOps Experience

Fraud Detection Expertise

Graph-Based Modeling

Feature Engineering

Data Analysis

Cloud Computing

Model Monitoring

Model Explainability

Low-Latency Online Prediction

Formação académica

Bachelor's Degree in Data Science

Statistics

Mathematics

Computer Science

Ferramentas

Scikit-Learn

XGBoost

LightGBM

TensorFlow

PyTorch

GCP

Vertex Pipelines

CI/CD

Git

Generative AI

Descrição da oferta de emprego

• Build, train and productionize ML models for fraud detection and prevention, including classification and anomaly detection
• Develop and maintain real-time or near-real-time scoring pipelines for risk decisions
• Monitor model performance and drift in production, with continuous retraining
• Perform feature engineering on transactional and behavioral data
• Collaborate with risk, product and engineering teams to balance fraud prevention and legitimate user experience
• Explore generative AI as a support tool for analysis, prototyping and documentation
• Act as a technical reference, supporting architecture decisions and mentoring more junior team members
• Work with ML engineers, data engineers and product owners on data-driven solutions

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or a related field
• Solid experience as a Data Scientist, working autonomously on end-to-end ML projects from conception to production
• Proficiency in Python and SQL for data analysis and modeling
• Experience with classification and\/or anomaly detection, including handling imbalanced classes
• Familiarity with precision\/recall, PR-AUC and cost-aware confusion matrix
• Knowledge of Scikit-Learn and XGBoost\/LightGBM; TensorFlow or PyTorch is a plus
• Familiarity with MLOps, model monitoring, drift detection and continuous training
• Experience with cloud computing, preferably GCP
• Experience handling large volumes of data
• Knowledge of software development best practices, CI\/CD and Git
• Strong communication skills and ability to collaborate in a team
• Prior experience with anti-fraud, risk or production anomaly detection is a plus
• Graph-based modeling for network fraud detection is a plus
• Experience with low-latency online prediction APIs is a plus
• Knowledge of model explainability, including SHAP and feature importance, is a plus
• Familiarity with generative AI\/LLMs is a plus
• Advanced experience with MLOps on GCP, Vertex Pipelines and Model Monitoring is a plus
• Intermediate\/advanced English is a plus

Core Competencies

Demonstrates expertise in building and productionizing ML models for fraud detection, with proficiency in Python, SQL, and MLOps practices. Capable of collaborating across teams to balance fraud prevention with user experience while mentoring junior team members.

Highest-signal resume keywords

• Machine Learning Model Development
• Python Proficiency
• SQL Proficiency
• MLOps Experience
• Fraud Detection Expertise

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Classification
• Anomaly Detection
• Feature Engineering
• Model Monitoring
• Data Analysis
• Cloud Computing
• Data Handling
• Model Explainability
• Graph-Based Modeling

Soft Skills

• Strong Communication
• Team Collaboration
• Mentoring

Certifications & Qualifications

• Bachelor's Degree in Data Science
• Statistics
• Mathematics
• Computer Science

Industry Keywords

• Fraud Prevention
• Risk Management
• Production Anomaly Detection
• Imbalanced Classes
• Precision/Recall
• PR-AUC
• Cost-Aware Confusion Matrix
• Low-Latency Online Prediction APIs
• Continuous Training
• Model Drift Detection

Tools & Technologies

• Scikit-Learn
• XGBoost
• LightGBM
• TensorFlow
• PyTorch
• GCP
• Vertex Pipelines
• CI\/CD
• Git
• Generative AI