Supply Chain Data Scientist

• 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 :

• Bachelors 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 Gitbased code repositories.
• Expert grasp of a broad range of statistical modelling techniques machine learning algorithms and experimental design.
• Exposure to cloud platforms such as AWS Azure Google Cloud or Databricks (preferred but not essential).
• 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.

Additional Information :

What We Offer:

• A culture that celebrates belonging and collaboration 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.
• 401k plan with company match Profit Sharing & Retirement Savings Contribution.
• Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here:  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.

Family and Medical Leave Act (FMLA)

( Employment Opportunity Commissions (EEOC)

( Polygraph Protection Act (EPPA)

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Remote Work :

No

Employment Type :

Full-time