Data Scientist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Convert intricate business challenges into modern, scalable, and results-oriented data solutions.

• Design and assess statistical and machine learning models.

• Create generative AI solutions utilizing RAG, embeddings, vector search, and prompt engineering techniques.

• Organize data, execute feature engineering, train models, validate outcomes, analyze errors, and evaluate performance.

• Transition analytical or AI solutions from prototype phase to full production.

• Maintain quality, monitoring, security, performance, cost efficiency, and governance throughout the model's lifecycle.

• Work collaboratively with Product Managers, Architects, Engineers, Data Governance teams, and business experts.

• Impact decision-making processes and establish trusted relationships with stakeholders.

• Contribute to the development of AI assistants, forecasting solutions, recommendation systems, and decision-support tools.

• Engage with agentic workflows, function calling, and multi-step AI applications.

⛳️ Requirements

• A Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline.

• More than 5 years of professional experience in developing and implementing data science, machine learning, or AI solutions.

• High proficiency in Python, including libraries such as pandas, NumPy, scikit-learn, and relevant deep learning or generative AI frameworks.

• Practical experience in data preparation, feature engineering, model training, validation, error analysis, and performance assessment.

• Experience transitioning analytical or AI solutions from prototype to full production.

• Familiarity with Git, testing, code review, documentation, APIs, and CI/CD methodologies.

• Expertise with cloud data and AI platforms, preferably SageMaker, Databricks, or similar technologies.

• Understanding of MLOps practices, including experiment tracking, model versioning, deployment automation, and monitoring.

• Solid grasp of LLMs, embeddings, vector databases, RAG, and the evaluation of GenAI solutions.

• Exceptional communication abilities with both technical and non-technical audiences.

• Capacity to translate business requirements into practical, scalable solutions.

• An analytical mindset, independence, critical thinking skills, and a strong inclination towards continuous learning.

🏝️ Benefits

• A culture that promotes equality.

• Commitment to diversity and multiculturalism.

• Opportunities for collaboration across various specialties, functions, and geographical locations.

• Emphasis on knowledge sharing and continuous improvement.

• Chances to collaborate with individuals from different regions around the globe.