Agriculture Science Statistician

Job Description

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Overview

Love our Lays, Walkers, Quaker and Doritos products? Bring your passion and talent to develop the next generation of agricultural insights to support sustainable crop production around the world.

Position Overview

This exciting role sits within the Global Agricultural Science team, a core function that delivers research and development to support PepsiCo’s billion-dollar global food brands, including Lays, Walkers, Doritos and Quaker. Our global team of scientists is at the heart of PepsiCo’s pep mission – driving world class research, development and innovation in new technologies and practices that deliver for both people and the planet.

The Agricultural Science Statistician will utilize statistical and applied mathematical skills to deliver enhanced experimental designs and analytics. The Ag Sci Statistician will work collaboratively on the design, analysis, and data modelling implementation of industry-leading experimental designs and statistics to improve and accelerate advantaged, sustainable variety deployment. You’ll also help manage engagement with stakeholders from other PepsiCo functions whilst collaborating across the entire Ag Science team. This position sits in the Ag Science function within PepsiCo Foods R&D, is located at the PepsiCo office at the Plano, Texas and will report to the Ag Science R&D Digital Strategy Lead.

Responsibilities

The ideal candidate will bring a unique set of skills and experience which will allow them to deliver across key areas:

• Creates best-in-class statistical recommendations on experimental design during the planning stages of experiments, staying current with fast-paced innovation in advanced analytics applied to the analysis of experiment protocols.
• Applies statistical principles which will maximize the predictive power of trial results including sample size, power calculations, trial design, and placement of experiments; also, will help in conducting appropriate statistical analysis of key datasets, automated analysis initiatives
• Plays a major role in defining, designing, and enhancing our experimental designs and analysis capabilities for indoor and field experimentation that support our PepsiCo Agricultural research.
• Model complex problems, discover insights, and identify opportunities with the use of statistics, applied mathematics, and visualization techniques, and pipeline optimization initiatives through simulated modeling.
  
  

Qualifications

Minimum Requirements

• Ph.D. with 4 years’ experience in statistics, data science or crop science or any agriculture related fields.
• Applied experience in at least one of the following areas: Machine Learning, Operation Research, Statistical Genetics, Statistics, Biostatistics, Applied Mathematics, Computer Science or other related quantitative discipline.
• Experience with experimental design, mixed-linear models, generalized linear models, machine learning models, stochastic or mathematical simulation models
• Experience using a programming language (Python, C/C , Matlab) OR a statistical computer language (R, Python, SQL) to manipulate data and draw insights from large data sets and rapid prototyping
• Demonstrated ability to execute projects within a project management framework.
• Ability to model complex problems, discover insights, and identify opportunities with the use of statistics, applied mathematics, and visualization techniques
• Demonstrated ability to interpret results effectively and clearly communicate complex analyses and recommendations
• This position will be based in Plano, Texas. Must be willing to travel up to 10% of the time both domestic and International. Must be willing to flex work schedule to accommodate video and phone conferences across multiple time-zones as an alternative to travel.
• A proven ability to work closely with colleagues on complex projects with a high degree of flexibility and comfort with change.
  
  

Preferred Requirements

• Knowledge of precision agriculture datasets and database, remote sensing data and geospatial statistics and analysis is a plus
• Industry experience in Agricutulure setting is a plus
  
  

Compensation and Benefits:

• The expected compensation range for this position is between $72,500 - $121,300.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 8% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
  
  

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

Please view our Pay Transparency Statement