Principal Data Scientist

Bunge Iberica SA; São Paulo; Presencial; BRL 223 200 - 334 800; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Strong compensation and benefits package

Generous paid time off

Flexible work arrangements

Resumo da oferta

Bunge Iberica SA is seeking a Principal Data Scientist to join their team in São Paulo, Brazil. This role involves leading significant data science initiatives focusing on pricing optimization and developing complex algorithmic systems. The ideal candidate will have a post-graduate degree in STEM, over 5 years of practical experience, and proficiency in Python and SQL. Bunge offers a hybrid work environment with a strong compensation package, flexible work arrangements, and opportunities for professional growth.

Qualificações

• 5+ years of hands-on working experience in data science.
• Strong foundations in math, analytics, and computer science.
• Experience building and deploying resilient data and modeling pipelines in cloud environments.

Responsabilidades

• Lead large-scale data science initiatives from POC to production.
• Design and implement complex modeling and algorithmic systems.
• Collaborate with stakeholders to understand business problems.

Conhecimentos

Pricing optimization

Python

SQL

Machine learning methods

Statistical models

Cloud platforms (GCP, AWS, Azure)

Formação académica

Post graduate degree in STEM field or relevant experience

Ferramentas

Terraform

Kubernetes

Docker

Descrição da oferta de emprego

Principal Data Scientist

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. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way. Bunge is committed to operating and thriving in the digital world – creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed. At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work.

Most importantly, in all we do we live our values:

• Act as One Team by fostering inclusion, collaboration, and respect
• Drive for Excellence by being agile, innovative and efficient
• Do What's Right by acting safely, ethically, and sustainably

Overview

We are seeking a highly motivated and experienced Principal Data Scientist with strong expertise in pricing optimization to join our growing team. As Principal Data Scientist, you will be a critical technical lead of the Business Technology Data and Analytics team, responsible for leading the construction and optimization of large-scale models to solve business problems and communicate the value to the business stakeholders. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives, driving significant impact throughout our global value chains.

Essential Functions

• Design, create, test and implement complex modeling and algorithmic systems that drive value throughout the organization.
• Responsible for leading large-scale data science initiatives from POC to production
• Design and structure reusable codebase utilizing data science best practice and supports the sustainability of our technical portfolio.
• Collaborate with various stakeholders to understand business problems to implement scalable and sustainable solutions.
• Work closely with Data Scientists, Analysts and Data Engineers to build and deliver valuable analytical solutions.
• Communicates and document the design, functioning and output of the analytical models/solutions developed to a variety of audience.
• 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 contacts to product managers, business partners and collaborators.
• Contribute to a culture of learning through technical mentoring and tools sharing.
• Post graduate degree in STEM field or Bachelor degree with a combination of years of experience as in Data Science or Computer Science, IT or a related field.
• Strong foundations in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.
• 5+ years of hands‑on working experience / fluency in Python and SQL.
• Comfortable with scripting language such as bash.
• Experience writing reusable and maintainable code with version control, ability to transform a project from POC to production.
• Experience building and deploying resilient data and modeling pipelines in the cloud environment.
• Experience with at least one major cloud platform (GCP, AWS or Azure), with preference to GCP services including but not limited to Compute Engine, Big Query, Cloud Run, and Cloud Composer.
• Creative and self‑motivated. Demonstrate drive to learn new skills and solve challenging problems.
• Act as a great team player in a global environment, take responsibility to consistently build better solutions both in technical quality and business impact.

Preferred Qualifications

• Good understanding of software development best practice, and ability to apply that to machine learning projects, including unit tests, 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 in area such as MLE, data engineer, DevOps engineer.
• Experience working with customer analytics and pricing optimiza