Bunge Iberica SA
Overview
Bunge is seeking a highly motivated and experienced Principal Data Scientist with strong expertise in optimization to join our growing team. As Principal Data Scientist, you will be responsible for leading a team of data scientists, engineers, and machine learning engineers in developing and implementing data-driven solutions to business problems. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives. Responsibilities
Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization. Lead a team of data specialists. Conduct advanced statistical and other analyses to provide actionable insights, identify trends, and measure performance. Collaborate with business analysts and understand business problems to implement scalable and sustainable solutions. Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions. Communicate the design, functioning and output of the analytical models/solutions developed. Ensure timely analysis and testing for regular maintenance of solutions over time. Communicate data insights to stakeholders. Qualifications
Post graduate degree in STEM field or Bachelor degree with a combination of years of experience in Data Science or Computer Science, IT or related field. Strong foundations in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming. 5+ years of hands-on working experience / fluency in Python and SQL. Comfortable with scripting language such as bash. Experience writing reusable and maintainable code with version control, ability to transform a project from POC to production. Experience building and deploying resilient data and modeling pipelines in the cloud environment. 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. Act as a great team player in a global environment, take responsibility to consistently build better solutions both in technical quality and business impact. Good understanding of software development best practice, and ability to apply that to machine learning projects, including unit tests, CI/CD integration. Experience using Infrastructure as Code (IaC) such as Terraform. Experience implementing Kubernetes and Docker (or similar container engine) solutions. Experience working with customer analytics, econometrics and pricing optimization, domain knowledge in global agri-business and ag-commodity market is a plus. Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. Veterans/Disabled Nearest Major Market:
St Louis Job Segment:
Testing, Computer Science, Agronomy, Cloud, Sustainable Agriculture, Technology, Agriculture
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Bunge is seeking a highly motivated and experienced Principal Data Scientist with strong expertise in optimization to join our growing team. As Principal Data Scientist, you will be responsible for leading a team of data scientists, engineers, and machine learning engineers in developing and implementing data-driven solutions to business problems. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives. Responsibilities
Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization. Lead a team of data specialists. Conduct advanced statistical and other analyses to provide actionable insights, identify trends, and measure performance. Collaborate with business analysts and understand business problems to implement scalable and sustainable solutions. Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions. Communicate the design, functioning and output of the analytical models/solutions developed. Ensure timely analysis and testing for regular maintenance of solutions over time. Communicate data insights to stakeholders. Qualifications
Post graduate degree in STEM field or Bachelor degree with a combination of years of experience in Data Science or Computer Science, IT or related field. Strong foundations in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming. 5+ years of hands-on working experience / fluency in Python and SQL. Comfortable with scripting language such as bash. Experience writing reusable and maintainable code with version control, ability to transform a project from POC to production. Experience building and deploying resilient data and modeling pipelines in the cloud environment. 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. Act as a great team player in a global environment, take responsibility to consistently build better solutions both in technical quality and business impact. Good understanding of software development best practice, and ability to apply that to machine learning projects, including unit tests, CI/CD integration. Experience using Infrastructure as Code (IaC) such as Terraform. Experience implementing Kubernetes and Docker (or similar container engine) solutions. Experience working with customer analytics, econometrics and pricing optimization, domain knowledge in global agri-business and ag-commodity market is a plus. Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. Veterans/Disabled Nearest Major Market:
St Louis Job Segment:
Testing, Computer Science, Agronomy, Cloud, Sustainable Agriculture, Technology, Agriculture
#J-18808-Ljbffr