Data Scientist
At a glance
Mid-level Data Science role at Bunge. Warszawa.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and test reusable code for large-scale models that address commercial business problems
- Learn Bunge’s internal data products and use them to develop commercial insights
- Work with business partners, data scientists and engineers to turn needs into scalable analytical solutions
- Explain model design, results and business value to different audiences, and document how solutions work
- Maintain and test deployed solutions while creating reusable modules and technical tutorials
What you bring
- A postgraduate STEM degree, or a bachelor’s degree plus relevant experience in data science, computer science, IT or a related field
- At least three years of hands-on data science work, with strong Python and SQL skills
- Sound grounding in mathematics, analytics and computer science, including machine learning and statistical methods
- Experience taking projects from proof of concept into production and maintaining code through version control and automation pipelines
- Experience with a major cloud platform such as GCP, AWS or Azure
Who this fits
This role suits a self-directed data scientist who can solve technical problems with limited oversight and contribute in a global team. The position is based in Warsaw, Poland.
From the employer
Overview:
We are seeking a highly motivated and experienced Data Scientist with strong expertise in commercial analytics to join our growing team. As Data Scientist, you will be a critical member of the Business Technology Data and Analytics team, responsible for implementing the construction and optimization of large-scale models to solve business problems and communicate the value to the business stakeholders.
Main Accountabilities:
- Design, implement and test reusable codebase utilizing data science best practice and supports the sustainability of our technical portfolio
- Develop deep understanding of Bunge’s internal data products that will drive critical commercial insights
- Collaborate with various stakeholders to understand business problems to implement scalable and sustainable solutions
- Work closely with other Data Scientists 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 business stakeholders
- Contribute to a culture of learning through development of reusable modules and technical tutorials
Minimum 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
- 3+ years of hands-on working experience and fluency in Python and SQL
- Comfortable with scripting language such as bash
- Experience writing reusable and maintainable code with version control and automation pipelines
- Ability to transform a project from POC to production
- 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 with minimal oversight.
- 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 building and deploying resilient data and modeling pipelines in GCP environment
- Experience using Infrastructure as Code (IaC) such as Terradom
- 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 geospatial data, domain knowledge in global agri-business and food industry is a plus
Ś1
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 ~37,000 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
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