Data Scientist
Summary
Builds and optimizes large-scale data models to solve business problems for a global agri-business company, using Python, SQL, and cloud platforms like GCP.
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.
In Poland our brand is Olej Kujawski.
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