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Yield Trialing Data Analytics Intern

Syngenta
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Accountabilities:

  • All tasks and activities assigned are executed according to the Company’s Health, Safety, and Environmental policies and procedures. Safety is Syngenta’s first priority.
  • Utilize precision software and data structures to drive efficiencies in hybrid seed production and trial research
  • Encouraged environment for creative thinking on process improvement in all aspects of Seeds Production Research
  • Conduct analysis of big data, applying novel and routine analysis methods to meet team deliverables that include operational improvement, process optimization and improved reporting.
  • Work with leadership to identify opportunities to enhance phenotypic data quality and the phenotypic data process workflow, share key learnings and drive implementation of new processes.
  • Participate in the management of data generated by the trialing teams.
  • Development of strong communication skills and tools to help promote concise and productive communication to maintain agility to continue high productivity
  • Skills developed throughout internship will culminate with a final report and presentation to key stakeholders and management of assigned trial
  • Support the development of data structure protocols that ensure compliance for reporting dashboard utilization.

Qualifications

 

Education & Experience:

  • Requires a High School diploma or equivalent
  • Must be pursuing a Bachelor’s Degree in operations research, engineering, mathematics, statistics, or another closely related field of study
  • Experience with statistical methods applied to large data files and a solid foundation in data science.
  • Programming: Python, R, Matlab
  • Prefer a student with Junior or Senior standing
  • Must have a valid Driver's License
  • All applicants must be eligible to work in the US

Preferred Requirements:

  • High level of communication (oral and/or written) is extremely important to keep team organized and aware to ensure high quality trialing and execution
  • Attention to detail, and agility to adjust plans and execute accordingly
  • Independent, self-motivated, driven, and customer focused individual able to produce high quality data
  • Experience with statistical methods applied to large data files.
  • The ability to structure unstructured problems and data, in order to derive conclusions and make recommendations to leadership.

Additional Information

 

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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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