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 Bunges 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 37000 dedicated employees partner with farmers across the globe to move agricultural commodities from where theyre grown to where theyre neededin 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 .
Every day our people exemplify these values which represent Bunge at its core:
We Are One Team Collaborative Respectful Inclusive We Lead The WayAgile Empowered Innovative We Do Whats RightSafety 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
Required Experience:
IC
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...
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 Bunges 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 37000 dedicated employees partner with farmers across the globe to move agricultural commodities from where theyre grown to where theyre neededin 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 .
Every day our people exemplify these values which represent Bunge at its core:
We Are One Team Collaborative Respectful Inclusive We Lead The WayAgile Empowered Innovative We Do Whats RightSafety 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