Sr Data Scientist
3M
BR, São Paulo, SumarePosted about 1 month agoDiscoveredMatch locked
Full time
About the role
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.
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.
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.
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
.
- 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.
•
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.
Additional Qualifications (Nice to Have)
- 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
Key Behavioral Competencies (Soft Skills)
- 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 location
- Work Location: This role follows an on-site working model, requiring the employee to work at least four days a week at the
Offices in Sumare, SP, Brasil
•
[5%][domestic/international]
•
Supporting Your Well-being
3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
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Not included in the source posting: about the role, benefits.
Skills
machine-learningartificial-intelligenceawsgenerative-aillmmlopslangchainpythonazureci-cdcomputer-visionnlp
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