Data Scientist Assistant Intern

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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 Flowers R&D team is currently seeking a Data Scientist Assistant Intern in Gilroy, CA. As a Data Scientist Assistant Intern you will assist the R&D team in performing data collection (greenhouse, lab, field, etc.) to be followed by data analysis reporting.

As an intern at Syngenta, you have the opportunity to work alongside some of the brightest minds in the industry, and work on real projects finding real solutions. Work with us and you’ll get:

• Competitive wages
• 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

Estimated Duration: May 2023 – August 2023 

You will:

• Collaborate with R&D team members to perform trials on various topics such as:
• New cultivar screening in propagation and production – Y-trials
• Disease resistance screening 
• Manage and monitor daily activities for R&D trialing (e.g., trial setup, data collection, etc.) 
• Be responsible for all aspects of data collection, photography, drone data, trial documentation
• Organize photographs and data so information can be interpreted by others
• Prepare reports on trial projects including data analysis
• Communicate effectively with colleagues regarding the status of trials, projects, and work activities

What you must have:

• A High School Diploma or equivalent 
• Enrollment in a Bachelor’s degree program in Data Science or a closely related field of study 
• Knowledge of data collection, data management across multiple locations
• Detail oriented and have accurate record keeping skills
• Ability to work independently and autonomously without direct supervision
• Strong statistical program skills (SAS, R, JMP, etc.) 

What you might also contribute to the team:

• Proactive, constructive written and oral communication skills
• Ability to work in cross-functional teams
• Experience working in a greenhouse or biological laboratory 
• Research experience 
• Strong computer skills (e.g Microsoft Excel, Word, PowerPoint, Smartsheet) 
• Ability to be discreet with confidential information
• Ability to work on 2 or more projects at the same time