Principal Data Scientist

Location :BAL - SEDE

City :São Paulo Brasil

State :São Paulo (BR-SP)

Country :Brasil (BR)

Requisition Number :42208

Bunge has an exciting opportunity available for a Principal Data 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 dont 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 Whats 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:

Main Accountabilities

• 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.

Major Opportunities and Decisions

• The problems faced are difficult and often complex and multi-dimensional. Decisions and problem-solving are guided by policies procedures and business plan; Anticipates and interprets internal or external issues and recommends solutions/best practices. Applies acquired expertise to analyze and solve problems without clear precedent.

Management/Leadership

• Manages operational plans large projects and/or processes with limited oversight from manager. Leads and/or participates with comparable influence in large projects/initiatives; AND/OR provides leadership to professionals and support. Contributes to short to mid term (1-3 years) talent optimization plans to execute on strategies in job area.

Key Relationships Stakeholders & Interfaces

• Stakeholders of this role include Leadership team members business leaders as well as technical experts making highly developed interpersonal & soft skills are important. One should be tech-savvy and business-savvy as well should understand business different types of data analytics technologies apply methods to valuable authentication prevent frauds. It is crucial to shape data products in alignment with corporate strategy and provide data insights leading to business directions.

Minimum Requirements:

• Post graduate degree in STEM field or bachelors degree with a combination of 5 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 areas such as MLE data engineer DevOps engineer.
• Experience working with customer analytics and pricing optimization and domain knowledge in global agri-business is a plus.