Principal Data Scientist

Bunge; São Paulo; Híbrido; BRL 260 000 - 520 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work arrangement

Global opportunities

Resumo da oferta

Bunge in São Paulo, Brasil seeks a Principal Data Scientist to join a global team and tackle meaningful projects impacting core business activities. You will design, test and deploy complex models and lead data science initiatives from concept to production, shaping scalable analytics across functions.

The role requires strong ML foundations, Python/SQL fluency, and experience building data pipelines in cloud environments; a hybrid work arrangement is offered.

Qualificações

• Strong foundations in mathematics, analytics and computer science with ML knowledge.
• Hands-on data science experience and advanced data science programming.
• Fluency in Python and SQL; comfortable with Bash scripting.

Responsabilidades

• Design, create, test and implement complex modeling and algorithmic systems that drive value throughout the organization.
• Lead large-scale data science initiatives from proof-of-concept to production.
• Design and structure reusable codebases using data science best practices to support sustainability of our technical portfolio.
• Collaborate with stakeholders to understand business problems and implement scalable solutions.
• Work closely with Data Scientists, Analysts and Data Engineers to deliver analytical solutions.
• Communicate and document model outputs to varied audiences and ensure timely maintenance.
• Explain data insights and value articulation to stakeholders.
• Serve as a technical lead and point of contact for product managers and partners.
• Mentor teammates and share knowledge to grow the team's capabilities.

Conhecimentos

Python

SQL

Machine Learning

Statistical Modeling

Data pipelines

Formação académica

Bachelor's or higher in STEM

Ferramentas

Terraform

Kubernetes

Docker

CI/CD

Descrição da oferta de emprego

Location: São Paulo, Brasil (São Paulo State). Position number: 45103.

Bunge has an exciting opportunity available for a Principal Data Scientist. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities.

Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunities to progress. Our hybrid work environment balances in‑office and remote work.

Essential Functions

• Design, create, test and implement complex modeling and algorithmic systems that drive value throughout the organization.
• Lead large‑scale data science initiatives from proof‑of‑concept to production.
• Design and structure reusable codebases using data science best practices to support sustainability of our technical portfolio.
• Collab with stakeholders to understand business problems and implement scalable and sustainable solutions.
• Work closely with Data Scientists, Analysts and Data Engineers to build and deliver valuable analytical solutions.
• Communicate and document the design, functioning and output of analytical models/solutions to a variety of audiences.
• Ensure timely deliverables and testing for regular maintenance of solutions over time.
• Communicate data insights and value articulation to stakeholders.
• Serve as a technical lead and point of contact for product managers, business partners and collaborators.
• Contribute to a culture of learning through technical mentoring and tool sharing.

Minimum Requirements

• Post‑graduate degree in a STEM field or bachelor’s degree with a combination of years of experience in data science, computer science, IT or a related field.
• Strong foundations in mathematics, analytics and computer science, knowledge of machine learning methods and statistical models, advanced data science programming.
• At least 5 years of hands‑on experience; fluency in Python and SQL.
• Comfortable with scripting languages such as Bash.
• Experience writing reusable and maintainable code with version control, and the ability to transform a project from proof‑of‑concept to production.
• Experience building and deploying resilient data and modeling pipelines in a cloud environment.
• Experience with at least one major cloud platform (GCP, AWS or Azure); preference for GCP services including Compute Engine, BigQuery, Cloud Run and Cloud Composer.
• Creative and self‑motivated with a drive to learn new skills and solve challenging problems.
• Team player in a global environment, consistently building better solutions in technical quality and business impact.

Preferred Qualifications

• Good understanding of software development best practices and ability to apply them to machine learning projects, including unit tests and CI/CD integration.
• Experience using Infrastructure as Code (IaC) such as Terraform.
• Experience implementing Kubernetes and Docker (or similar container engine) solutions.
• Obtained Google Cloud Professional certifications such as MLE, Data Engineer, or DevOps Engineer.
• Experience working with customer analytics and pricing optimization; domain knowledge in global agribusiness is a plus.