What are the responsibilities and job description for the NA Digital & Data Analytics Lead position at Syngenta Group?
Company Description
As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs.
Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold.
Syngenta Crop Protection is headquartered in Switzerland.
Job Description
Develop “Machine Learning” by Building efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities.
- Develop “Machine Learning” by Building efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities.
- Support and implement the D&A capability development approach in P&S function.
- Foster the use of data to support the decision-making processes in P&S function.
- Champion the data literacy development, becoming part of the operation standard way of working.
- Work closely together with all relevant functions to design innovative supply chain solutions, providing supply chain design and data analytics expertise to key change initiatives cross-functionally.
- Build advanced analytics models (predictive, prescriptive, machine learning, simulation, statistical, etc.) to solve complex supply chain problems.
- Run machine learning tests and experiments, and document findings and results.
- Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
- Stay up to date with developments in the machine learning industry.
- Use advanced analytics models to conduct data discovery to uncover new correlations and interdependencies among supply chain variables.
- Work with and/or train citizen data scientists to offload basic data science tasks like initial data discovery and/or visualization and model testing.
Qualifications
- Bachelor’s degree in engineering, Computer Science, Supply Chain Management or other quantitative driven sciences
- Solid understanding of business data structures
- Knowledge of Agile development & Operational Excellence
- Literate in Data & Analytics, understand how to structure and analyze data
- Fluent in English, other languages are an advantage
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.
- 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: https://www.youtube.com/watch?v=OVCN_51GbNI
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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