Principal Data Scientist

Location : St. Louis MO

City : Chesterfield

State : Missouri (US-MO)

Country : United States (US)

Requisition Number : 41951

Bunge has an exciting opportunity available for 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 optimization and to join our growing team. As Principal Data Scientist, you will be responsible for leading a team of data scientists, engineers, and machine learning engineers in developing and implementing data-driven solutions to business problems. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives.

Essential Functions :

Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.

Lead a team of data specialists.

Conduct advanced statistical and other analyses to provide actionable insights, identify trends, and measure performance.

Collaborate with business analyst and understand business problems to implement scalable and sustainable solutions.

Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions

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.

Qualifications :

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.

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, econometrics and pricing optimization, domain knowledge in global agri-business and ag-commodity market is a plus.

Bunge (NYSE : BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge's expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.

Bunge is an Equal Opportunity Employer. Veterans / Disabled