City : Chesterfield
State : Missouri (US-MO)
Country : United States (US)
Requisition Number : 45659
A Day In The Life:
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.
What You'll Be Doing:
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 Skill/Experience Requirements:
- 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, econometrics and pricing optimization, domain knowledge in global agri-business and ag-commodity market is a plus.
Bunge offers a variety of benefits including health and wellness plans, retirement contribution and paid vacation/holidays.
At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~34,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.
Every day our people exemplify these values, which represent Bunge at its core:
- We Are One Team – Collaborative, Respectful, Inclusive
- We Lead The Way – Agile, Empowered, Innovative
- We Do What’s Right – Safety, Sustainability, With Integrity
If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge
Nearest Major Market: St Louis
Job Segment: Sustainable Agriculture, Agronomy, Testing, Machinist, Computer Science, Agriculture, Technology, Manufacturing
