Data Scientist

City : Warsaw State : Mazowieckie (PL-MZ) Country : Poland (PL) Requisition Number : 44368

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.

Essential Functions:

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

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