# Senior Data Scientist

**Company**: 3M
**Location**: Sumare, SP
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q159433

**Apply**: https://3m.wd1.myworkdayjobs.com/en-US/Search/job/BR-So-Paulo-Sumare/Sr-Data-Scientist_R01169811?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_95379ae7-0e5

## Description

As a Senior Data Scientist at 3M, you will be a key technical leader within the Global Analytics & Insights (A&I) organization, driving the design and delivery of advanced AI/ML solutions that create strategic business value at scale.

You will combine deep technical expertise in generative AI, AI agents, and machine learning with strong business proficiency, leading high-impact initiatives and influencing the Innovation direction of the organization.

**The Impact You Will Make in This Role**

- Architect, develop, and deploy sophisticated AI/ML solutions across multiple domains, including predictive models, generative AI technologies, agentic solutions, NLP pipelines, and computer vision systems.

- Lead the full Innovation lifecycle - from opportunity identification and discovery through development, deployment, and ongoing performance management.

- Define and own AI/ML model design and development approaches, ensuring technical excellence, scalability, and alignment with 3M standards.

- Drive the adoption and integration of large language models (LLMs), generative AI frameworks, and AI agent architectures to solve complex business problems.

- Establish and enforce model validation, testing criteria, and governance standards across the team.

- Champion responsible for AI/ML principles, including model explainability, fairness, cost management, bias mitigation, and compliance with ethical standards.

**Cloud & Data Platform Expertise**

- Lead the development and optimization of AI/ML pipelines on/with AWS Bedrock, AWS Agent Core, AWS SageMaker, Azure ML, and Databricks, ensuring production-grade reliability and performance.

- Partner with data engineering teams to define data architecture requirements, pipeline standards, and quality frameworks that support advanced analytics and AI at scale.

- Drive MLOps best practices, including CI/CD for ML, model monitoring, retraining strategies, and deployment automation.

**Strategic Influence & Stakeholder Engagement**

- Engage proactively with 3M stakeholders, A&I Pillar Leads, and IT COE partners to identify high-value AI opportunities and translate them into structured, impactful solution roadmaps.

- Influence AI technology stack recommendations and contribute to the broader A&I innovation agenda.

- Lead stakeholder engagement throughout solution design, testing, validation, and adoption phases, ensuring solutions are embedded and delivering value.

- Provide technical mentorship and guidance to mid-level Data Scientists and AI Specialists, elevating team capabilities and fostering a culture of technical excellence.

- Communicate complex AI/ML concepts and model outcomes clearly and persuasively to senior technical and non-technical stakeholders.

**Documentation & Governance**

- Own comprehensive documentation of model architecture, data lineage, performance metrics, and governance artifacts for all AI solutions developed.

- Apply 3M development standards and responsible AI frameworks consistently across all deliverables.

- Proactively identify and mitigate risks related to model bias, data drift, data quality, and solution reliability.

**Your Skills and Expertise**

- Experience: Minimum of 5–8 years of hands-on experience in Data Science, Machine Learning, or AI roles, with a strong track record of delivering AI/ML solutions in enterprise production environments.

- Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, Statistics, or a related field.

- Technical Skills:

+ Advanced proficiency in Python with practical experience building scalable data science and AI solutions. 	+ Hands-on experience with LLMs, Generative AI tools, and Agentic framework (e.g., Strands, LangChain, LangGraph, Hugging Face). 	+ Deep expertise with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, and equivalent tools. 	+ Advanced hands-on experience with cloud AI/ML platforms: AWS Bedrock, AWS Agent Core, AWS SageMaker, and Azure ML.

- AI Focus Areas: Demonstrated expertise across multiple domains: Predictive Modeling & Forecasting, NLP / LLMs, Agentic Architecture, Computer Vision, and MLOps / Model Productionization.

- Communication: Proficiency in English (written and spoken); proven ability to present AI strategies and outcomes to senior leadership.

## Skills

### Required
- Python
- LLMs
- Generative AI
- Agentic framework
- TensorFlow
- PyTorch
- Scikit-learn
- AWS Bedrock
- AWS Agent Core
- AWS SageMaker
- Azure ML
- MLOps
- Data Science
- Machine Learning
- AI

### Nice to have
- model explainability
- responsible AI tools
- data visualization platforms
- solution architecture decisions
- software engineering best practices
- Spanish

---

Source: [Apply at 3m.wd1.myworkdayjobs.com](https://3m.wd1.myworkdayjobs.com/en-US/Search/job/BR-So-Paulo-Sumare/Sr-Data-Scientist_R01169811?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)