Sr Data Scientist
On-siteSão Paulo, São Paulo, Brazil
Job Summary
Design and deploy sophisticated AI/ML solutions across domains including predictive modeling, generative AI, and computer vision systems. Lead the full innovation lifecycle from opportunity identification through deployment, establishing governance standards for model validation, explainability, and bias mitigation. Optimize AI/ML pipelines on AWS Bedrock, SageMaker, and Azure ML while driving MLOps best practices such as CI/CD and automated retraining. Engage with global stakeholders to translate high-value AI opportunities into structured roadmaps and provide technical mentorship to mid-level specialists. Own comprehensive documentation of model architecture and data lineage while ensuring alignment with 3M's responsible AI frameworks.
Required Qualifications
- Minimum of 5–8 years of hands-on experience in Data Science, Machine Learning, or AI roles
- Strong track record of delivering AI/ML solutions in enterprise production environments
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, Statistics, or a related field
- Advanced proficiency in Python
- Hands-on experience with LLMs, Generative AI tools and Agentic framework
- Deep expertise with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn
- Advanced hands-on experience with cloud AI/ML platforms: AWS Bedrock, AWS Agent Core, AWS SageMaker, and Azure ML
- Proven experience with LLMs, Generative AI frameworks (e.g., LangChain, LangGraph, Hugging Face), and AI agent architectures
- Strong command of MLOps practices: model versioning, CI/CD pipelines, monitoring, and retraining strategies
- Solid understanding of data engineering principles, ETL/ELT pipelines, and data quality frameworks
- Demonstrated expertise across multiple domains: Predictive Modeling & Forecasting, NLP / LLMs, Agentic Architecture, Computer Vision, and MLOps / Model Productionization
- Proficiency in English (written and spoken)
- Proven ability to present AI strategies and outcomes to senior leadership
- Strong technical leadership and ability to influence without authority across cross-functional teams
- Excellent structured thinking, with the ability to break down ambiguous problems into actionable Innovation solutions
- Highly effective communicator across technical and executive audiences in multicultural and global environments
- Proactive, self-directed, and comfortable navigating complexity and ambiguity in a fast-evolving AI landscape
- Collaborative mentor who elevates team performance and fosters a culture of innovation and continuous learning
- Work at least four days a week at the Offices in Sumare, SP, Brasil
Desired Qualifications
- Knowledge of model explainability and responsible AI tools (e.g., SHAP, LIME, Fairlearn)
- Familiarity with data visualization platforms (e.g., Matplotlib, Seaborn, Power BI) and storytelling with data
- Experience in solution architecture decisions within enterprise AI/ML contexts
- Background in software engineering best practices: version control (Git/GitHub), code review, and modular development
- Proficiency in Spanish
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