NA Digital Data Analytics Manager
NA Digital Data Analytics Manager
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Not Disclosed
Salary Not Disclosed
1 Vacancy
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
Bachelors Degree Preferred
Bachelors degree in engineering Computer Science Supply Chain Management or other quantitativedriven 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 crossfunctional 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 Scikitlearn SciPy NumPy Pandas XGBoost Keras
Additional Information :
What We Offer:
A culture that celebrates diversity & inclusion promotes professional development and strives for a worklife 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 atop employerby Science Journal.
Learn more about ourteamand ourmission 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.
WL5A
#LIJW1 #LIONSITE
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
