Data Scientist (remote Based, Italy, or anywhere in Europe, Africa and Middle East)

Company Description

Syngenta is leading science-based agtech company; dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet.

To support that challenge, we’re looking for a: Data Scientist

Job Description

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:

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.
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 GMT+2.

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

Data Scientist (remote Based, Italy, or anywhere in Europe, Africa and Middle East)

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