Applied Data Science Intern

You will:

• Collaborate with interdisciplinary stakeholders and contribute to the development of code within the AGS team
• Build predictive machine learning/deep learning models for vegetable crops
• Query public and internal databases for modeling purposes

Accountabilities

• Calibrate and validate machine learning/deep learning models for vegetable crops
• Implement predictive machine learning/deep learning models to analyze and interpret data to improve Syngenta’s current predictive pipeline
• Maintain clear and comprehensive pipeline documentation to ensure code maintainability and knowledge transfer within the team

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, the Vegetables & Flowers Seeds Development team is currently seeking a Applied Data Science Intern, located in Durham, NC.

• Competitive wages (hourly salary range of $21-$40 per hour)
• Ongoing career development resources   
• The opportunity to work on meaningful, innovative projects that solve problems 
• A culture that celebrates diversity & inclusion, promotes professional development, and offers flexible work options to meet both your work and personal needs

Job Location: Hybrid to Research Triangle Park, NC

Knowledge, Experience & Capabilities

Critical Knowledge

• Currently enrolled in PhD or MSc  programs (in a U.S. university) in Quantitative Genetics, Data Science, Statistical Genetics, or related field
• Computational skills and experience using programming languages and analytical toolkits

Critical Experience

• Advanced data fluency and excellent command of open-source programming languages (Python and/or R)
• Demonstrated skills in analysis and visualization of large, diverse and complex datasets

Desirable Experience

• Theoretical knowledge and practical experience with regression methods and machine learning/deep learning techniques and algorithms
• Experience of building predictive models using AWS SageMaker
• Fluency with query languages, data wrangling, determining best algorithms/model, accessing APIs and leveraging advanced data and analytical capabilities

Critical Technical, Professional and Personal Capabilities

• Strong communication skills, and ability to distill complex concepts and deliver clear messages to non-expert audience
• Demonstrated creativity in problem solving and ability to drive innovation
• Strong initiative and data oriented mindset
• Ability to collaborate effectively- learning from team and other scientists and sharing knowledge

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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, gender identity, marital or veteran status, disability, or any other legally protected status. 

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Employee Polygraph Protection Act (EPPA) 

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