Cientista de dados

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados based in Brazil.

This role offers an exciting opportunity to shape the future of artificial intelligence and advanced analytics within a fast-evolving technology environment. You will work on the design and development of innovative data-driven solutions, with a strong focus on Generative AI, predictive modeling, and intelligent products. Combining strategic influence with hands-on technical execution, you will contribute to the creation of scalable AI architectures that deliver real business value. The position involves working with cutting-edge technologies such as Large Language Models (LLMs), agent-based systems, and Retrieval-Augmented Generation (RAG). You will collaborate across teams, connect diverse data sources, and help drive a data-centric culture. This is an ideal role for someone passionate about innovation, problem-solving, and transforming complex data into impactful solutions.

• Develop and enhance Data Science and Generative AI solutions that support the evolution of intelligent products and services.
• Design and implement architectures for intelligent agents, conversational systems, and LLM-powered applications.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured and unstructured data sources.
• Develop predictive models and Machine Learning algorithms to solve complex business challenges.
• Integrate AI solutions with APIs, databases, and enterprise systems to enable seamless data flows and automation.
• Monitor, evaluate, and continuously improve models and AI systems deployed in production environments.
• Ensure best practices related to data governance, security, privacy, and multi-tenant architecture management.
• Support cross-functional analytics initiatives by connecting multiple business domains and data ecosystems.
• Promote technical excellence and contribute to the adoption of data-driven decision-making practices across the organization.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
• Practical experience with Generative AI technologies and Large Language Models (LLMs).
• Strong proficiency in Python for Data Science, Machine Learning, and AI development.
• Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
• Knowledge of RAG architectures, embeddings, prompt engineering, and vector databases.
• Experience developing supervised and unsupervised Machine Learning models.
• Proficiency with libraries such as Pandas, NumPy, Scikit-Learn, and XGBoost.
• Understanding of model monitoring, deployment, and operational practices (LLMOps/MLOps).
• Experience integrating APIs and working with data from multiple sources and systems.
• Strong analytical mindset, collaborative approach, and excellent problem-solving skills.
• Ability to balance strategic thinking with hands-on technical execution.

Benefits:

• National health insurance plan.
• National dental insurance plan.
• Life insurance coverage.
• Gympass/Wellness program.
• Flexible meal and food allowance.
• Transportation allowance.
• Home office and commuting support.
• Corporate university and continuous learning opportunities.
• Educational assistance programs.
• Annual performance-based bonus opportunities.
• Employee referral bonus program.
• Long-service recognition awards.
• Newborn gift program for employees’ families.
• Birthday recognition and exclusive gifts.
• Modern and collaborative workspaces with recreational and wellness areas in on-site locations.
• Opportunity to work with innovative AI technologies and contribute to high-impact projects.