Sr. Data Scientist (Pricing)

Bunge Iberica SA; São Paulo; Presencial; BRL 180 000 - 280 000; Tempo integral

Resumo da oferta

Bunge is seeking a Senior Data Scientist (Pricing) in São Paulo to lead pricing-focused ML initiatives. You will design, train, validate, and deploy models that impact pricing decisions and profitability while collaborating with analysts and business teams.

The role emphasizes strong communication, scalable analytics, and delivering production-ready solutions in a hybrid work environment with a focus on innovation and data-driven decisions.

Qualificações

• Bachelor's degree in a quantitative field; master's degree a plus.
• 3+ years of data science, ML, analytics experience.
• Strong Python, SQL and cloud tech skills.

Responsabilidades

• Design, build, and deploy ML models addressing pricing challenges.
• Collaborate with cross-functional teams to translate business problems into analytics.
• Communicate insights to stakeholders and ensure delivery aligns with business goals.

Conhecimentos

Python

SQL

Machine Learning

Statistics

Data analysis

Cloud platforms

Formação académica

Bachelor's degree in Computer Science / Statistics / Mathematics or related field

Master's degree preferred

Ferramentas

Kubernetes

Docker

Terraform

CI/CD pipelines

Descrição da oferta de emprego

Sr. Data Scientist (Pricing)

Bunge has an exciting opportunity available for a Senior 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

Role Purpose Statement

We are seeking a highly motivated and experienced Senior Data Scientist with strong expertise in machine learning and statistics to join our growing team. As Senior Data Scientist, you will be responsible for driving the construction of machine learning models to solve business problems, communicate to the technical team, and assure the delivery matches business expectations. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives.

Main Accountabilities

• Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.
• Gives technical support for data scientists.
• Collaborate with business analyst and understand business problems to implement scalable and sustainable solutions.
• Define development standards and solution approach.
• Design and structure reusable codebase
• Communicates the design, functioning and output of the analytical models/solutions developed
• Ensure timely analysis and testing for regular maintenance of solutions over time
• Communicate data insights to stakeholders.

Behavior

• Make decisions aligned to Bunge’s global strategy, business needs and financial goals and explore new perspectives by driving innovation.
• Cultivate strong relationships and networks, effectively influence others, and develop talent to excel in their current and future roles.
• Develop data driven strategies aligned with Bunge’s priorities, energize others to action through clear and compelling communication.
• Demonstrate strong teamwork, foster collaboration, and promote the adoption of innovative ideas across the organization.
• Can help business structure the problems/hypotheses they want to address and convert it into an advanced analytics approach including machine learning and optimization components.
• Capable of mentoring associates and other data scientists.

Knowledge and Skills

• Proficient in data science, experimentation, machine learning, Python, SQL, data analysis, analytical skills, teamwork, and communication skills.
• Expert in programming in Python.
• Advanced knowledge in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.
• Strong expertise in cloud-based data and machine learning platforms, designing scalable, secure, and production-ready analytical solutions.
• Develop and manage end-to-end ML pipelines, including data ingestioan, feature engineering, model training, validation, deployment, and monitoring. Establish MLOps best practices, including model versioning, experiment tracking, CI/CD pipelines, automated testing, and governance standards for machine learning solutions.

Education & Experience

• Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, Economics or a related quantitative field. A master’s degree in a relevant field is considered a plus.
• 3+ years of proven experience in Data Science, Machine Learning, Statistical Modeling, and Advanced Analytics, with strong proficiency in Python, SQL, cloud technologies, and MLOps practices. Experience delivering scalable, production-grade solutions and collaborating with cross-functional teams to solve complex business problems.

Preferred Qualifications

• Good understanding of softwaredevelopmentbest 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 inareasuch as MLE, data engineer, DevOps engineer.
• Experience working with customer analytics, econometricsand pricing optimization, domain knowledge in global agri-businessand ag-commodity marketis a plus.

Please consider uploading your CV in English.