DATA SCIENTIST (REMOTE BASED, ITALY, OR ANYWHERE IN EUROPE, AFRICA AND MIDDLE EAST)

Role purpose Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources (trials imagery sensors drones satellite) to extract valuable insights Own end-to-end data analytics processes including extraction processing analysis reporting modeling deployment and visualization Develop and deploy automated data processing pipelines to streamline analysis workflows across multiple data sources Apply predictive analytics machine learning and AI techniques to create innovative solutions that drive business value Collaborate cross-functionally with Global and Regional stakeholders to deliver cost-effective stable and performant data science solutions aligned with business needs Stay current with emerging data analytics and ML technologies implementing new methodologies to enhance existing processes Foster a culture of innovation and creativity while enabling data-driven decision making through advanced predictive modeling solutions Accountabilities Maintain and enforce data science best practices while collaborating with Product Biology Digital Data Quality teams on Statistical Data Science Digital and ML projects.
Drive continuous improvement of Data Science methods through Regional and Global team coordination particularly in transitioning to big-data agricultural applications.
Create comprehensive documentation and deliver training materials/courses for new tools and data projects to end users when needed Provide technical support and expertise in Data Analytics Predictive Modeling Data Science Machine Learning and AI across European Regional and Global teams.
Transform stakeholder requirements into actionable solutions through use cases test cases and iterative development of algorithms and tools.
Develop and validate features by consolidating internal/external databases and working closely with different stakeholders Maintain technical excellence through continuous learning in Data Science Deep Learning ML engineering and AI while collaborating with MLOps/Product/Dev teams to deliver business impact Qualifications.
Knowledge Skills Education & Experience:.
or Ph.
.
in statistics Applied mathematics Data Science Machine Learning computer sciences physics or natural sciences (e.
.
biology chemistry agronomy) Deep expertise in data analytics applied to biology agronomy and crop protection with strong proficiency in Python programming and package development Comprehensive knowledge of Big Data technologies cloud-based ecosystems and database query languages (SQL) along with experience in version control systems Proven expertise in Machine/Deep Learning algorithms and related Python libraries including model development deployment and monitoring Familiar with building and deploying data pipelines Proficiency in BI tools (Power BI Spotfire Tableau or Qlik Sense) with emphasis on Power BI Demonstrated ability to extract meaningful insights from complex noisy data while maintaining high accuracy standards Strong communication skills in English with experience working effectively in diverse international teams Self-driven professional with strong problem-solving abilities displaying autonomy and initiative while maintaining an agile mindset focused on stakeholder-oriented delivery Other Behaviours Critical for role Show autonomy initiative efficiency problem solving Syngenta Leadership Capabilities Execution and Results Orientation - Manages work performance to efficiently complete responsibilities.
Demonstrates initiative and a strong commitment to achieving meaningful results meeting or exceeding goals and acting on opportunities to create value.
Judgment - Analyze problems to make effective and sound decisions.
Focuses on customers - Dedicated to meeting the expectations and requirements of internal and external customers.
Manages for performance - Skillfully plans organizes and monitors performance to create value and achieve excellence in delivery.
Engage and inspire - Fosters personal achievement and excellence.
Encourage high standards of performance in others.
Additional Information.
Some travel mostly in Europe Employee may as part of his/her role and maybe through multifunctional teams participate in the creation and design of innovative solutions.
In this context Employee may contribute to inventions designs other work product including know-how copyrights software innovations solutions and other intellectual assets.
Advanced English is required Knowledge of any other European Language is a plus The ideal candidate is based in Italy but we accept applications from all over Europe Africa and the Middle East preferably with a time zone difference of no more than 2 hours from GMT2.
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 Remote Work.
Yes Employment Type.
Full-time