Job Description
Lead and manage a team of Machine Learning, Data & Analytics, Supply Chain Designing scientists and engineers
Engage other Supply chain functions to the Digital, Productivity, and Innovation mindset
Ensure good communication and alignment with Global Digital Productivity and Innovation function
Establish a strategic partnership with IT and other technology areas to facilitate key projects implementation ****
Lead the development and implementation of Data & Analytics, Machine Learning cases, Supply Chain Automation
Manage the Data & Analytics Project Pipeline to leverage and maximize the use of resources among individual use cases, projects, and programs
Champion the development of distinctive Data & Analytics delivery models, fostering the deployment of the required tools and capabilities
Guide the team in architecting an entire AI Engineering platform that allows for the deployment and scalability of machine learning models
Guarantee resources are leveraged, and synergies are captured among use cases, no matter the funding provenance
Running tests on machine learning models to determine accuracy and documenting the results
Develop automation and technology tools to improve data visibility and operational efficiency
Qualifications
Critical Knowledge
Bachelor’s Degree Preferred
Bachelor’s degree in engineering, Computer Science, Supply Chain Management, or other quantitative-driven sciences
Strong leadership, project management, and communication skills
Strong computer skills and ability to work in Excel, PowerPoint, Outlook, and Word
Critical Experience
Experience working in a cross-functional team
Strong Leadership & People Management Skills, Innovation, creativity Skills, Project Management, Supply Chain Processes, Continuous Improvement Skills, Supply Chain experience (5+ years), Project Management, Machine Learning, Data & Analytics, and Artificial Intelligence developments in Supply Chain
Desirable Technical Skills
SAP Hana, Data Engineering, Data Analytics, Snowflake, Java, Supply Chain Automation, Qlik Sense, Tableau
Proficient in SQL and Python, understanding of ETL processes and data pipeline design, Knowledge in data science tools like TensorFlow, Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras
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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