Über
Syngenta is a world market leader in crop protection, helping farmers ensure enough safe and nutritious food. They are seeking a Supply Chain Data Scientist to collaborate on high-impact projects that enhance digital capabilities within the organization.
Responsibilities : • 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 : • 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. • Familiarity with software development practices and Git‑based code repositories. • 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.
Preferred : • Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Databricks (preferred but not essential).
Company :
Syngenta is an agriculture company provides products and solutions to help farmers achieve global food security for a growing population. It is a sub-organization of Syngenta Group. Founded in 2000, the company is headquartered in Basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.
Sprachkenntnisse
- English
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