Nutrien Job Opportunity: Data Scientist, Procurement Systems

At Nutrien, our mission is to Feed the Future, guided by our core values of safety, inclusion, integrity, and results. Our top priority is ensuring our employees return home safely every day.

About Nutrien

Nutrien is a global leader in agricultural products, services, and solutions. With approximately 25,000 employees worldwide, we are the largest producer of potash (by capacity) and one of the top producers of nitrogen and phosphate. Our leading agricultural retail network serves over 500,000 growers globally.

Our Commitment to Diversity

We believe that diverse perspectives and experiences strengthen our company. We seek individuals who prioritize safety, work collaboratively, uphold integrity, and support inclusion. At Nutrien, you will have the opportunity to redefine the expectations of an agricultural company and advance your career.

Role Overview: Data Scientist, Procurement Systems

Reporting to the Manager of Procurement Master Data, this role focuses on revolutionizing Procurement Data and Analytics. You will drive strategic decision-making, efficiency, agility, and success in procurement through innovation and excellence. We emphasize quality, collaboration, and continuous improvement, aiming to reshape procurement analytics and empower organizations to tackle procurement challenges confidently.

Core Responsibilities:

• Understand stakeholder requirements, recommend suitable solutions, and collaborate with Data Services teams to construct unified databases.
• Validate data requests for business value, priority, and duplicacy. Ensure data accuracy, integrity, and reliability.
• Partner with Supply Chain groups for data analysis, develop actionable dashboards, and present process enhancement recommendations.
• Work with Procurement Systems and Governance teams on various initiatives including S2C, P2P, taxonomy development, supplier risk, supplier tiers, and inventory dashboarding.
• Navigate Nutrien hierarchy to recommend appropriate contacts and facilitate effective communication.
• Gain insights into business processes to support stakeholders with analysis and data requirements.
• Foster collaboration among analysts from different business units to share best practices and avoid duplicate efforts.
• Provide training sessions on procurement data available in HANA, identify skill gaps, and recommend appropriate training.
• Communicate changes to procurement data in unified databases to stakeholders.
• Identify opportunities to improve data quality and build trust in its usage.
• Assist in troubleshooting and recommending best approaches for dashboard and report development.

Qualifications:

• Strong understanding of Supply Chain functions and processes, including source to pay processes.
• Knowledge of Taxonomies and UNSPSC, Supplier Tiering.
• Ability to normalize and analyze data from multiple sources.
• Experience in looking for trends in data and making informed recommendations.
• Market Intelligence background is advantageous.
• Familiarity with mining, chemicals, and/or manufacturing industries.
• Capability to manage multiple priorities with various stakeholders.
• Self-motivation and drive.
• Ability to work independently as well as in a team environment.
• Technical Proficiency:
  • Strong data and database fundamentals.
  • Proficiency in Power BI, Power Query, Excel.
  • Experience with R & Python coding.
  • Understanding of SAP, Oracle, S4.
  • Familiarity with Cloud-based CLM tools, specifically Ariba.
  • Advanced knowledge of the MS Suite, including cloud systems (MS Forms, Power Automate, Excel, etc.).
• Minimum of 3 years’ experience in Supply Chain and Analytics.
• Bachelor's or Master’s degree in Computer Science, Supply Chain, Engineering, or a related field.
• Experience in developing test strategies, plans, test cases, and test scripts.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Proficiency in data analysis tools and techniques.
• Familiarity with procurement processes and data analytics is preferred.
• Experience in change management and mentoring is a plus.
• Ability to prioritize tasks and manage multiple projects effectively.