As a Senior Data Scientist, you will lead the development of advanced analytics solutions within our multi-agent system architecture. You will deploy machine learning models focused on pattern recognition and predictive analytics, ensuring their integration into production systems while collaborating closely with engineering teams. Your role is pivotal in driving data-driven decision-making that aligns with CI&T's commitment to Collaboration, Innovation & Transformation, leveraging cutting-edge artificial intelligence technologies.

Key Responsibilities:

Lead advanced analytics efforts within our multi-agent system architecture.

Develop and deploy machine learning models for pattern recognition and predictive analytics.

Collaborate with engineering teams to integrate models into production systems.

Work with graph databases and modern data pipeline technologies.

Create automated analysis workflows that integrate with our LangGraph-based agent system.

Required Skills and Qualifications:

Must-have Skills:

Advanced Python proficiency with expertise in data science libraries (NumPy, Pandas, scikit-learn)

Machine learning experience including model development, validation, and deployment

Strong SQL skills for complex data analysis and manipulation

Statistical analysis expertise with experience in hypothesis testing and experimental design

Hands-on data science experience in production environments

Strong problem-solving skills and ability to translate business needs into analytical solutions

Advanced English for effective communication in international client meetings

Nice-to-have Skills:

Pytorch experience

Experience with multi-agent orchestration tools: (LangGraph / CrewAI / Agno / SmolAgents / AutoGen)

Letta, DSPy, Google ADK.

At CI&T, we are driven by our values of Collaboration, Innovation & Transformation. We are excited to harness the power of AI to elevate our projects and impact. If you are eager to take on challenges and create solutions that drive change, we invite you to apply!

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