Data Scientist (Mid-to-Senior) — Machine Learning & Predictive Analytics

We are looking for an experienced Data Scientist to design, build and deploy machine learning models focused on prediction, classification, anomaly detection and pattern recognition. This is a hands-on, model-development-focused role. You will work closely with our data engineering team and internal stakeholders to turn business problems into production-ready ML solutions. Work Model: Remote Hourly contract Long-term opportunity CNPJ/PJ model preferred What You'll Work On: - Develop and deploy machine learning models for prediction, classification, clustering and anomaly detection - Design and implement end-to-end ML pipelines, from feature engineering to model serving - Analyze large datasets to identify patterns, trends and actionable insights - Build and maintain model monitoring, retraining and performance tracking workflows - Translate business problems (finance, commercial, laboratory, HR) into data science solutions - Document model design decisions, evaluation metrics and deployment procedures Requirements: - 1 + years of experience in data science, machine learning or related roles - Degree in Computer Science, Statistics, Mathematics, Data Science or related fields - Python: scikit-learn, pandas, NumPy — core ML development stack - SQL : data extraction, feature engineering, exploratory analysis - Solid understanding of supervised and unsupervised learning, time-series forecasting and anomaly detection techniques - Experience deploying models to production (APIs, batch scoring or embedded pipelines) - Familiarity with experiment tracking and model versioning (MLflow, Weights & Biases or similar) - Git: version control, code review workflows Nice-to-Have: - Experience with deep learning frameworks (PyTorch, TensorFlow) - Spark / PySpark for large-scale feature engineering Microsoft Fabric or Databricks for ML workflows - NLP or computer vision experience Azure ML or cloud-based ML platforms Language Requirements: - Portuguese: Required - English: Required Intermediate conversational level in both. You do not need perfect fluency, but you should be able to communicate professionally. Ideal Candidate: This role is ideal for someone who wants to grow as a specialist in applied machine learning — building models that solve real business problems, not just prototypes. We value hands-on experience, clear documentation and the ability to work independently from problem framing to deployment.