Data Scientist

Location: São Paulo, Brazil

About the Role

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

The ideal candidate has strong expertise in developing and deploying machine learning models, analyzing complex datasets, and translating business challenges into data-driven solutions. This role requires close collaboration with engineering, product, and business teams to design and deliver scalable AI/ML solutions that drive measurable business outcomes.

Key Responsibilities

• Design, 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 and challenges into effective Data Science and Machine Learning solutions .
• Perform data preprocessing, feature engineering, Exploratory Data Analysis (EDA), and model evaluation .
• Develop predictive models using classification, regression, clustering, and other Machine Learning techniques , as appropriate.
• Optimize and fine-tune models to improve accuracy, scalability, and performance .
• Collaborate closely 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 in production and continuously improve models based on evolving business and production requirements.
• Communicate complex analytical findings and model results clearly and effectively to both technical and non-technical stakeholders .
• Follow engineering and Data Science best practices for code quality, documentation, testing, version control, and model governance .

Required Skills & Qualifications

• 6+ years of overall professional experience in software, analytics, data, or related technical roles.
• 3+ years of hands-on experience specifically as a Data Scientist .
• Strong programming skills in Python .
• Strong understanding of Machine Learning algorithms, techniques, and core concepts .
• Hands-on experience with libraries and frameworks such as scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch .
• Strong foundation in 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 databases and/or large-scale data platforms.
• Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or similar technologies .
• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (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 Apache Spark/PySpark is a plus.
• Strong analytical, problem-solving, and communication skills .

Preferred / Nice-to-Have Qualifications

• Experience with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or Retrieval-Augmented Generation (RAG) .
• Experience with frameworks such as LangChain, LlamaIndex, or similar technologies .
• Knowledge of Deep Learning and NLP techniques .
• Experience with Docker, Kubernetes, Git, and CI/CD pipelines .
• Experience building and deploying Machine Learning models using cloud-native services .
• Experience working in Agile/Scrum environments .

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.