PepsiCo is looking to create and support global digital initiatives in Manufacturing, Warehousing, and Transportation by building and deploying statistical/machine learning models.
Requirements
- 7+ years’ experience designing and deploying solutions in revenue management, supply chain, or related operations domains.
- 5+ years working collaboratively within a team to deliver production-grade analytic solutions. Fluent with version control (Git) and containerization (Docker).
- 7+ years’ experience with ETL pipelines and data wrangling techniques; fluent in SQL syntax and database query optimization.
- 7+ years’ experience applying statistical and machine learning techniques to solve supervised (regression, classification) and unsupervised learning problems; experience with deep learning and foundational models is a plus.
- 7+ years’ experience developing business-relevant statistical or machine learning models using industry-standard tools, with primary focus on Python or Scala.
- 7+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
- Demonstrated experience applying simulation and optimization methods to solve complex business or operational problems.
Responsibilities
- Develop a sustainable analytical toolkit in the form of reusable libraries or components that can be deployed through configuration for specific projects and datasets.
- Manage requests coming from various market-specific teams through data-driven prioritization by keeping the long-term product vision in mind
- Be able to work in Azure and Databricks environments, but be ready to switch to some other
- Partner with data engineers to ensure data readiness and accessibility for model consumption.
- Coordinate work activities with Business teams, other IT services and other teams, if required.
- Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed.
- Support large-scale hypothesis testing and build data-driven models.
Other
- The role is to join a growing team based in the United States (preferably in Plano, Texas)
- You will work closely with process owners, product owners and final business users.
- You will also be an internal ambassador of the team’s culture around data and analytics, and will provide stewardship to colleagues in the areas that you are a specialist or you are specializing.
- Communicate with business stakeholders in the process of service design, training and knowledge transfer.
- Strong business storytelling and ability to communicate data insights in a clear, actionable format for business stakeholders.
