PepsiCo is looking to create and support global digital initiatives focused on 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
You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase.
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.
