Data Scientist

Company Description

Syngenta Group is one of the world's leading sustainable agriculture innovation companies, with roots going back more than 250 years. Our 53,000 people across more than 100 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner. Syngenta Group is committed to operating at the highest standards of ethics and integrity. This is a commitment that we are making to investors, customers, society and employees. Syngenta Group is also committed to maintaining a workplace environment free from discrimination and harassment.

Job Description

• 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

• 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.

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.