Supply Chain Data Scientist Lead

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 Syngentas P&S Digital Productivity & Innovation Latam team is seeking a Supply Chain Data Scientist Lead in Santiago Chile. 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.
• 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.
• 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.

Be part of a leading company that brings the potential of plants to life

#LI-Hybrid

Remote Work :

No

Employment Type :

Full-time