Senior Data Scientist

Accountabilities: Architect, develop, deploy, and optimize machine learning models and AI-driven applications for production environments, with a focus on areas such as search, recommendation systems, and conversational experiences. Design, execute, and analyze experiments to validate hypotheses and improve product performance and customer outcomes. Analyze large volumes of structured and unstructured data to uncover insights and develop scalable predictive solutions. Apply scientific methodologies to generative AI initiatives, including prompt engineering, evaluation of AI agents, proof-of-concept development, and assessment of guardrails and model capabilities. Collaborate closely with cross-functional teams including product managers, software engineers, machine learning engineers, and UX professionals to deliver impactful solutions. Contribute actively to technical discussions, design reviews, knowledge-sharing initiatives, and strategic decisions within the broader data science community. Provide technical guidance and mentorship to fellow data scientists, promoting best practices and continuous learning. Requirements Minimum of 3+ years of hands-on experience in data science, machine learning, or related disciplines, preferably in high-growth or technology-driven environments. Strong expertise in machine learning concepts, including regression, classification, clustering, neural networks, feature engineering, model explainability, validation techniques, and performance optimization. Solid understanding of the engineering aspects involved in deploying and maintaining machine learning systems in production. Advanced proficiency in Python and experience working with data science and machine learning frameworks. Knowledge of deep learning methodologies and modern AI techniques. Experience with applied generative AI technologies, such as large language models (LLMs), prompt engineering, AI agents, model fine-tuning, monitoring, routing, and governance frameworks, is highly desirable. Strong analytical mindset, problem-solving capabilities, and ability to work independently in ambiguous and complex scenarios. Excellent communication skills with the ability to explain technical concepts clearly and collaborate effectively across teams. Professional proficiency in English, both written and verbal, is required. Advanced academic background in Data Science, Machine Learning, Natural Language Processing, Information Retrieval, or related fields is considered a strong advantage. Benefits Competitive compensation package and profit-sharing program. Remote-first work model with flexibility to work from anywhere in Brazil, along with access to offices and coworking spaces when desired. Comprehensive health and dental insurance coverage. Life insurance and employee assistance programs covering mental health, social, legal, and financial support. Meal allowance and home office stipend. Extended parental leave and family-focused benefits, including childcare and atypical parenthood support. Wellness initiatives, including access to fitness and well-being programs. Additional paid days off, including birthday leave and special family-related leave days. Educational discounts, professional development support, and exclusive employee discount programs. Inclusive, collaborative, and high-performance environment with opportunities to work alongside top technology professionals.