R&D Senior Agricultural Scientist - Variety Pipeline Analytics

Overview

PepsiCo is a global food and beverage leader operating in more than 200 countries and territories with a product portfolio that includes 22 world-famous, billion-dollar brands. From Gatorade to Quaker, LIFEWTR to Lay’s, we make hundreds of enjoyable foods and beverages that are loved throughout the world.

Guiding PepsiCo is our vision to be the global leader in convenient foods and beverages by Winning with Purpose. “Winning with Purpose” reflects our ambition to win sustainably in the marketplace and embed purpose into all aspects of the business.

Our employees drive our culture. No two days are the same; we’re dynamic and full of passionate teams embracing new ideas through our collaborative spirit. At PepsiCo, what makes you unique, makes us better!

We are seeking a highly motivated PhD scientist with 0-3+ years or MS scientist with 4+ years of experience in agricultural sciences. The ideal candidate will have a strong background in agricultural sciences with expertise in one or more of the following areas: machine learning, data insights, data science, predictive/prescriptive science, simulations, in-silico modeling, genetics, genomics or field operations. This position is based in Plano, Texas, and offers the opportunity to contribute to cutting-edge research and development initiatives within PepsiCo’s agricultural innovation team

Responsibilities

• Use computational tools to analyze large datasets and derive actionable insights and advanced data analysis
• Collaborate with cross-functional teams to seamlessly integrate digital solutions across ag science research areas, driving innovation and enhancing outcomes
• Lead research initiatives in ag science digital space, focusing on areas such as genetic gain, product design, linking products to genetics, improving agricultural productivity
• Play a key role in ag science digital focus areas primarily around proof-of-concept development, generating validation data, and implementing optimization strategy
• Apply data science techniques to build, test, and optimize data models using programming languages or other statistical and mathematical tools to solve complex agricultural challenges
• Collaborate with interdisciplinary teams and work closely with both internal teams and external partners to support agricultural innovation initiatives
• Conduct literature reviews and stay updated on the latest advancements in agricultural science and technology

Compensation and Benefits:

• The expected compensation range for this position is between $76,400 - $127,850
• 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

Qualifications

• MS or PhD in Agricultural Sciences, Plant Sciences, Genetics, or related field
• PhD 0-3+ years or MS with 4+ years of relevant experience in agricultural research, with a strong focus on one or more of the following: machine learning, data analytics, genetics, genomics, field operations, data insights, data science, predictive/prescriptive science, data pipeline management, simulations, or in-silico modeling
• Experience and enthusiasm for tackling analytical challenges with big datasets, using quantitative approaches to extract valuable insights and inform decision-making
• Proficiency in building data models using programming languages such as R, Python, or other statistical and mathematical tools to develop, test, and optimize models
• Creative, proactive, bold and out-of-box thinking
• Understanding in Machine learning algorithms and concepts; familiarity with in-silico methods and tools is a plus
• Strong problem-solving, analytical, and critical thinking skills
• Excellent written and verbal communication skills, with the ability to convey complex ideas to a broad audience

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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.

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