Supply Chain Data Scientist Lead

Company Description

About Syngenta  

Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta is focused on developing technologies and farming practices that empower farmers, so they can make the transformation required to feed the world’s population while preserving our planet. Its bold scientific discoveries deliver better benefits for farmers and society on a bigger scale than ever before. Guided by its Sustainability Priorities, Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Read our stories and follow us on LinkedIn, Instagram & X. 

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s P&S Digital Productivity & Innovation Latam team, is seeking a Supply Chain Data Scientist Lead in Buenos Aires, Argentina. This role is an opportunity for a highly motivated collaborator who wants to be amongst the initiators of the Data & Analytics and Supply Chain Network Design team in the Latam region, working in global collaboration, leading and collaborating on high-impact projects that drive the digital capabilities of the organization.

Accountabilities

• Partner with stakeholders to understand complex business problems, define and champion robust analytical approaches, and effectively communicate insights and recommendations to technical and non-technical audiences.
• Design, develop, and lead the implementation of sophisticated mathematical, statistical, and machine learning models to address complex supply chain challenges, enabling advanced predictive insights and optimization.
• Write and review efficient, scalable, and maintainable code (e.g., Python, SQL, Cypher), promoting best practices in software development.
• Drive current tools use and implementation (Celonis – Supply Chain Guru), and deploy their full potential.
• Perform complex data extraction, cleansing, transformation, and innovative feature engineering to maximize model performance.
• Own and ensure the analytical integrity, robustness, scalability, and continuous improvement of deployed models.
• Develop, maintain, and set standards for comprehensive documentation related to models, analytical processes, and data sources.
• Drive adherence to and contribute to the refinement of data governance and security best practices.
• Lead and participate in team code/model reviews fostering a culture of technical excellence.
• Stay up to date with and actively contribute to the adoption of emerging technologies, algorithms, and methodologies in data science and supply chain management.

Qualifications

Required

• Advanced English level both written and spoken.
• Bachelor’s, postgraduate or Masters degree in Data Science, Operations Research, Mathematics/Statistics, Engineering, Computer Science or a related discipline.
• Proven industry experience in data science roles with a track record of developing and deploying impactful data-driven solutions, preferably in supply chain, logistics, or manufacturing.
• Supply chain projects and/or operations experience.
• Strong grasp of foundational statistical modelling, machine learning algorithms (e.g., regression, classification, time series analysis) and experimental design practical experience)
• Solid working knowledge and practical application of optimization methods (including model formulation and interpretation of results) and simulation tools/frameworks for supply chain analysis and improvement.
• Proficiency in SQL for complex data querying, manipulation, and aggregation; and in Python or R, with experience in a wide range of libraries for statistical analysis, machine learning and data visualization.
• Expert grasp of a broad range of statistical modelling techniques, machine learning algorithms, and experimental design.
• Proficiency in Microsoft Office: Word, Excel, PowerPoint, SharePoint, Teams.
• Excellent problem-solving and analytical skills, with a proven ability to tackle complex and ambiguous business problems.
• Excellent communication, presentation, and collaboration abilities, with experience working effectively in cross-functional team environments.

Desired

• Experience with data mining tools as Celonis and supply chain network modelling tools as Supply Chain guru will be valued.

Additional Information

What We Offer

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs. 
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.  
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. 

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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