We work to help life advance, and we are always looking for innovative people who can contribute to our mission. How about becoming part of our team?
Location: Brazil (BR) - Sao Paulo - Indaiatuba
Function: Technology (CA)
Title: Data Scientist - Focus on SAP MM Procurement - Indaiatuba/SP - 124858
About The Role
As a Data Scientist - Focus on SAP MM Procurement based at John Deere Regional Office in Indaiatuba you will you will help shape the future of Procurement by developing intelligent solutions that combine Software Engineering, AI, Machine Learning, Data, and SAP technologies to support global operations and deliver business value at scale.
Main Responsabilities
- Design and develop AI and Machine Learning capabilities for global Procurement solutions.
- Integrate AI capabilities into existing SAP MM applications and help create new AI-powered experiences.
- Work with data, APIs, enterprise systems, and cloud technologies to transform business problems into scalable solutions.
- Explore and implement Generative AI, LLM, and RAG-based solutions for real Procurement challenges.
- Contribute to the architecture and evolution of applications in an increasingly AI-first software landscape.
- Collaborate with software engineers, product teams, and business partners to understand customer problems and translate them into technology solutions.
- Help establish modern engineering, AI development, MLOps, data quality, and governance practices.
- Experiment, learn fast, challenge traditional approaches, and help us define what the future of Procurement software could look like.
What Skills You Need
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Bachelor’s degree or equivalent higher education qualification completed in Computer Science, Software Engineering, Data Science, Information Systems, or a related field.
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Advanced English proficiency, with the ability to communicate effectively in a global environment.
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Availability to work in a hybrid model, with on-site presence in Indaiatuba, SP, three times per week.
- Experience with Python, SQL, Statistics & Probability, and Machine Learning.
- Knowledge of Data Engineering fundamentals, Databricks/Apache Spark, and cloud platforms such as Azure or AWS.
- Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and API integrations.
- Familiarity with MLOps, Data Visualization tools (Power BI or Tableau), Data Governance, Data Quality, Git, and GitHub.
What Makes You Stand Out
- Experience with Multi-Agent Systems, AI Solution Architecture, or Natural Language Processing (NLP).
- Knowledge of Vector Databases such as OpenSearch, Pinecone, or Azure AI Search.
- Experience with Deep Learning, Containerization, and Software Architecture & Design Patterns.
- Understanding of Responsible AI, AI Governance, and the development of scalable AI-powered enterprise solutions.
Our Main Benefits
- Variable compensation
- Health Insurance
- Dental Plan
- Life Insurance
- Private Pension Plan
- Vision Care Benefit
- Vaccination reimbursement
- Corporate University
- TotalPass
- Depending on the location, on-site cafeteria, meal voucher, or food allowance
- Pharmacy assistance
- And more
Our Recruitment Process
The selection process begins with your application. For some positions, additional assessments may be required. You will have the opportunity to meet members of the team during the interview stages!
Our recruitment process is flexible in terms of timing, so there is no need to worry. Our Talent Acquisition team is committed to providing you with the best possible candidate experience. We carefully review all applications and provide feedback at every stage of the process. In addition, all guidance and next steps will be shared via email.
About John Deere
John Deere is a global leader in providing advanced products, technology, and services for customers who play an essential role in agriculture, construction, forestry, and other industries. Our mission is to help meet the world’s growing need for food, fuel, shelter, and infrastructure, while promoting sustainability and preserving the planet we call home.
We innovate to drive productivity and protect our planet—and we invite you to be part of this journey. Together, we will create, test, and challenge ourselves so that life can keep moving forward. 💚
