Company DescriptionWe 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 needsJob Location: Hybrid to Research Triangle Park, NCJob DescriptionYou will:Collaborate with interdisciplinary stakeholders and contribute to the development of code within the AGS teamBuild predictive machine learning/deep learning models for vegetable cropsQuery public and internal databases for modeling purposesAccountabilitiesCalibrate and validate machine learning/deep learning models for vegetable cropsImplement predictive machine learning/deep learning models to analyze and interpret data to improve Syngenta’s current predictive pipelineMaintain clear and comprehensive pipeline documentation to ensure code maintainability and knowledge transfer within the teamQualificationsKnowledge, Experience & CapabilitiesCritical Knowledge Currently enrolled in PhD or MSc programs (in a U.S. university) in Quantitative Genetics, Data Science, Statistical Genetics, or related fieldComputational skills and experience using programming languages and analytical toolkitsCritical ExperienceAdvanced 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 datasetsDesirable ExperienceTheoretical knowledge and practical experience with regression methods and machine learning/deep learning techniques and algorithmsExperience of building predictive models using AWS SageMakerFluency with query languages, data wrangling, determining best algorithms/model, accessing APIs and leveraging advanced data and analytical capabilitiesCritical Technical, Professional and Personal CapabilitiesStrong communication skills, and ability to distill complex concepts and deliver clear messages to non-expert audienceDemonstrated creativity in problem solving and ability to drive innovationStrong initiative and data oriented mindsetAbility to collaborate effectively- learning from team and other scientists and sharing knowledgeAdditional Information#LI-KR2#LI-HybridSyngenta 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. Family and Medical Leave Act (FMLA) (http://www.dol.gov/whd/regs/compliance/posters/fmla.htm) Equal Employment Opportunity Commission's (EEOC) (http://webapps.dol.gov/elaws/firststep/poster_direct.htm) Employee Polygraph Protection Act (EPPA) (http://www.dol.gov/whd/regs/compliance/posters/eppa.htm)