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R&D Scientist, Data Science and Analytics 282 views

PepsiCo Global R&D’s Data Science and Analytics team focuses on the autonomous or semi-autonomous examination of data and content to discover deep insights, make predictions, and/or provide recommendations. They use various techniques and tools that are beyond traditional business intelligence ones. Their major techniques and expertise include ML/AI for predictive modeling and cognitive computing (vision, speech, language analytics, etc.), and robotic process automation (RPA). They support research and development of PepsiCo’s diverse portfolio of beverages and foods to make a business impact on market success.

Rewarding opportunity for personal and professional growth. You will have a unique opportunity to propel the use of Data Science in an R&D setting to build and sustain our innovation pipeline. As a data scientist, you will proactively obtain data/information from various sources and analyze them to provide a better understanding of R&D Innovation performance. You will build AI/ML tools that automate certain processes within Global R&D. Your duties typically include creating various AI/ML-based tools or processes within Global R&D, such as recommendation engines or predictive models. The ability to perform statistical analyses is also within the scope of the role.

Critical Competencies

  • Execute operating plan projects through statistical methods and advanced data modeling techniques that provide business impact and value
  • Partner with R&D Categories to identify new advanced analytic tools as needed
  • Select features, build and optimize classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extend the company’s data with third-party sources of information when needed
  • Enhance data collection procedures to include information that is relevant to building analytic systems
  • Process, cleanse, and verify the integrity of data used for analysis
  • Communicate and presenting results in a clear manner

Qualifications/Requirements

  • Execute operating plan projects through statistical methods and advanced data modeling techniques that provide business impacts and value
  • Partner with R&D Categories to identify new advanced analytic tools as needed
  • Select features, build and optimize classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extend the company’s data with third-party sources of information when needed
  • Enhance data collection procedures to include information that is relevant to building analytic systems
  • Process, cleanse, and verify the integrity of data used for analysis
  • Communicate and presenting results in a clear manner

Knowledge & Experience

  • Minimum Master’s degree in Statistics, Mathematics, Computer Science or other quantitative Science/Engineering field.
  • Strong problem-solving skills with an emphasis on R&D innovation applications.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of advanced statistical techniques and concepts (regression, distributions, statistical tests, and proper usage, etc.) and experience with their applications.
  • Knowledge of a variety of machine learning techniques (clustering, decision trees, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.

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

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