- 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
- M.Sc. or Ph.D. in statistics, Applied mathematics, Data Science, Machine Learning, computer sciences, physics, or natural sciences (e.g., 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.
- 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.
