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.

Accountabilities

• 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.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.