Data Scientist - Hybrid Model-Sao Paulo, Brazil

We are looking for an experienced Data Scientist with 6+ years of overall experience, including at least 3+ years of hands-on experience in Data Science, Machine Learning, and advanced analytics.

The ideal candidate will have strong expertise in developing and deploying machine learning models, analyzing complex datasets, translating business problems into data-driven solutions, and working closely with engineering and business teams to deliver scalable AI/ML solutions., * Develop, train, validate, and deploy machine learning and statistical models to solve complex business problems.

• Analyze large and complex datasets to identify trends, patterns, correlations, and actionable insights.
• Translate business requirements into data science and machine learning solutions.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop predictive, classification, regression, clustering, and other machine learning models as applicable.
• Optimize and fine-tune models to improve accuracy, scalability, and performance.
• Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders.
• Design and implement end-to-end data science solutions from data preparation through model deployment.
• Monitor model performance and continuously improve models based on business and production requirements.
• Communicate complex analytical findings and model results clearly to technical and non-technical stakeholders.
• Follow best practices for code quality, documentation, testing, version control, and model governance.

• 6+ years of overall experience in software, analytics, data, or related technical roles.
• 3+ years of hands-on experience specifically as a Data Scientist.
• Strong programming experience in Python.
• Strong knowledge of Machine Learning algorithms and concepts.
• Experience with libraries/frameworks such as scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
• Strong understanding of statistics, probability, data modeling, and experimental design.
• Hands-on experience with data preprocessing, feature engineering, model training, validation, and evaluation.
• Strong SQL skills and experience working with relational and/or large-scale data platforms.
• Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or similar.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Understanding of MLOps, model deployment, CI/CD, and production machine learning workflows is highly preferred.
• Experience working with large datasets and distributed data processing frameworks such as Spark/PySpark is a plus.
• Strong analytical, problem-solving, and communication skills.

Preferred / Nice-to-Have Skills

• Experience with Generative AI, Large Language Models (LLMs), NLP, or Retrieval-Augmented Generation (RAG).
• Experience with frameworks such as LangChain, LlamaIndex, or similar.
• Knowledge of deep learning and NLP techniques.
• Experience with Docker, Kubernetes, Git, and CI/CD pipelines.
• Experience building and deploying ML models using cloud-native services.
• Experience working in Agile/Scrum environments., * Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.