Principal Data Scientist

• Act as One Team by fostering inclusion, collaboration, and respect

• Drive for Excellence by being agile, innovative and efficient

• Do What's Right by acting safely, ethically, and sustainably

• Design, create, test and implement complex modeling and algorithmic systems that drive value throughout the organization.

• Responsible for leading large-scale data science initiatives from POC to production

• Design and structure reusable codebase utilizing data science best practice and supports the sustainability of our technical portfolio.

• Collaborate with various stakeholders to understand business problems to implement scalable and sustainable solutions.

• Work closely with Data Scientists, Analysts 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 stakeholders.

• Serve as a technical lead and point of contacts to product managers, business partners and collaborators.

• Contribute to a culture of learning through technical mentoring and tools sharing.

• 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.

• 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

• Obtained Google Cloud Professional certifications in area such as MLE, data engineer, DevOps engineer.

• Experience working with customer analytics and pricing optimization, domain knowledge in global agri-business is a plus.