Data Scientist Intern — ML for Crop Breeding & Analytics

Syngenta AG; Raleigh (NC); Presencial; USD 28.000 - 62.000; Tempo integral

Benefícios oferecidos por esta vaga

Culture of belonging

Professional development

Meaningful projects

Resumo da vaga

Syngenta's Vegetables R&D team in Raleigh, NC is offering a Data Scientist Intern position to work on ML models for data-driven recommendations supporting product advancement and placement decisions.

As part of the Emerging Talent Program, you'll gain hands-on experience across day-to-day operations, applying academic knowledge to real-world challenges while developing professional skills.

Estimated duration May 2027– August 2027; compensation $20-$45 per hour.

Qualificações

• PhD candidate in data science, quantitative genetics, CS or related field.
• Experience in AI/ML model development and evaluation.
• Ability to handle large, complex datasets efficiently.
• Strong programming skills in Python (preferred) and other languages.
• Hands-on experience with R&D data, such as genetic, phenotypic, or environmental data.
• Good written and oral communication with a proactive, collaborative approach.
• Proven ability to work in cross-functional teams and investigate complex problems.

Responsabilidades

• Collaborate with data scientists on product advancement analytics.
• Gather, transform, and process large structured and unstructured datasets for model training.
• Develop methodologies to integrate and analyze varied data types.
• Develop and validate ML models for placement predictions.
• Document findings, model limitations, and strategic recommendations.

Conhecimentos

AI/ML model development

Python programming

Data analysis

Cross-functional collaboration

Written and verbal communication

Large dataset handling

Problem solving

Formação

PhD candidate in data science or related field

Descrição da vaga

Syngenta's Vegetables R&D team in Raleigh, NC is offering a Data Scientist Intern position to work on ML models for data-driven recommendations supporting product advancement and placement decisions.

As part of the Emerging Talent Program, you'll gain hands-on experience across day-to-day operations, applying academic knowledge to real-world challenges while developing professional skills.

Estimated duration May 2027– August 2027; compensation $20-$45 per hour.