Empresa: Kstack
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.