Sr Data Scientist

3M; Sumaré; Presencial; BRL 240 000 - 400 000; Tempo integral

Resumo da oferta

3M seeks a Senior Data Scientist to lead AI/ML development and deployment across multiple domains. You will design innovative solutions, drive the end-to-end lifecycle, and align with 3M standards while guiding junior team members.

Role requires strong Python, ML frameworks, and cloud expertise (AWS, Azure) to scale models with governance and responsible AI practices.

Qualificações

• 5-8 years of hands-on data science/AI in enterprise production environments.
• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, Statistics, or a related field.
• Strong Python and ML/AI framework experience.

Responsabilidades

• Architect, develop, and deploy sophisticated AI/ML solutions across multiple domains.
• Lead the full Innovation lifecycle from discovery to deployment and monitoring.
• Mentor peers and influence AI strategy and governance across the organization.

Conhecimentos

Python programming

AI leadership

Mentorship

Data science

Formação académica

Bachelor's/Master's in CS/DS/Math

Ferramentas

TensorFlow

PyTorch

Scikit-learn

AWS Bedrock

AWS SageMaker

Azure ML

LangChain

LangGraph

Hugging Face

Descrição da oferta de emprego

3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.

Job Description:

Collaborate with innovative 3Mers around the world

As a Senior Data Scientist, 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.

This role is ideal for experienced data science professionals who are ready to own complex Innovation solution architectures, mentor peers, and bridge the gap between cutting-edge AI capabilities and real-world enterprise applications across a global, innovation-driven environment.

The Impact You Will Make in This Role

Advanced AI & Machine Learning Leadership

• 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

Required Qualifications

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. The candidate should be able to use Python for data analysis, machine learning and AI development, API creation, workflow automation, and the design of agentic architectures that integrate tools, models, and enterprise systems.
• 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.
• Proven experience with LLMs, Generative AI frameworks (e.g., LangChain, LangGraph, Hugging Face), and AI agent architectures.