Data Scientist at Bunge Asia Pte Ltd

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

04 Aug, 26

Salary

0.0

Posted On

06 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Machine Learning, Statistical Modeling, GCP, Bash, Version Control, CI/CD, Kubernetes, Docker, Infrastructure as Code, Commercial Analytics, Data Engineering, BigQuery, Cloud Composer, Geospatial Data

Industry

Food and Beverage Manufacturing

Description

City : Warsaw State : Mazowieckie (PL-MZ) Country : Poland (PL) Requisition Number : 44369 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 #LI-MŚ1 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

Responsibilities

The Data Scientist will design and implement large-scale analytical models to solve business problems and provide commercial insights. They will collaborate with stakeholders and data engineers to build scalable, sustainable solutions and document their outputs.