Data Scientist

Company Description

About Syngenta

Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta is focused on developing technologies and farming practices that empower farmers, so they can make the transformation required to feed the world’s population while preserving our planet. Its bold scientific discoveries deliver better benefits for farmers and society on a bigger scale than ever before. Guided by its Sustainability Priorities, Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Read our stories and follow us on LinkedIn, Instagram & X. 

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s Development Team is seeking a Data Scientist in Santa Isabel. This role will be strategic in identifying high-impact opportunities, prioritizing projects based on value and feasibility, and ensuring the successful communication and delivery of data science outcomes across the organization: 

Accountabilities:

• Lead the experimental excellence domain within the Applied Data Science Team
• Design and implement the most appropriate experimental design and data quality control strategies for each crop, region and stage of the pipeline
• Simulate different pipeline designs and strategies to influence breeding programs’ strategy
• Collaborate with regional business and technical stakeholders to drive a data and insight-driven breeding program testing strategy
• Knowledge transfer across technical teams, increasing data science fluency within the organization
• Data visualizations to deliver your results and drive business insights, using dashboards and visual analytics tools, such as Power BI, Tableau, R-Shiny, or Qlik Sense.
• Cloud-native model deployment using AWS or Google Cloud.
• Well-documented APIs and microservices for consumption and integration of machine learning outputs.
• Clear technical documentation and reproducible workflows to support research and cross-team collaboration.
• Performance reports and continuous improvement recommendations based on model evaluation and business feedback.
• Effective business storytelling: translate complex analytical results into strategic insights for leadership and functional teams.
• Project impact evaluations to prioritize initiatives and allocate resources efficiently.

Qualifications

Required:

• Bachelor’s degree in agronomy, statistics, biotechnology, science and technology, computer science, computer engineering, or related fields.
• 3+ years of work experience
• Proficient in Python and/or R. Software version control and best practices using Git is a must.
• Advance English
• Proficient in Python and/or R. Software version control and best practices using Git is a must.
• Experience working with Asreml-R and AlphaSimR packages
• Solid understanding of SQL/NoSQL databases and data engineering principles
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Experience using of visualization tools: R Shiny, Power BI, Tableau, Qlik Sense.
• Highly proactive, autonomous, and goal oriented.
• Skilled in communicating with leadership and cross-functional teams

Additional Information

Be part of the Syngenta Experience

• Competitive salary and attractive benefits
• Dynamic and international environment
• Modern office environment and collaboration tools
• Forward thinking policies (e.g. remote working, career breaks)
• Support personal development in a diverse and inclusive environment

Important: 

Beyond just believing in the power of diversity, Syngenta promotes an inclusive culture that embraces differences in all its forms. Here we believe that the feeling of belonging allows people to be the best versions of themselves, building an increasingly welcoming and productive environment. All candidates qualified for our positions, without distinction of race, gender, age, nationality or disability.

*This position will require immediate availability.

* This position will not provide relocation support.

Be part of a leading company that brings the potential of plants to life 

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