PepsiCo is looking to solve supply chain network design problems by developing and supporting global digital developments.
Requirements
- 4+ years working in a team to deliver production level analytic solutions.
- 4+ years’ experience in ETL and/or data wrangling techniques.
- 4+ years’ experience in Statistical/ML/Deep Learning techniques to solve supervised (regression, classification) and unsupervised problems.
- 4+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python development.
- Experience in Supply Chain Network Design.
- Experience in mathematical optimization (preferably applied to Supply Chain network optimization).
- Demonstrate strong problem-solving skills with a creative approach to designing heuristics and approximation algorithms for NP-hard problems, balancing solution quality and computational efficiency.
Responsibilities
- Active contributor to code development in projects and services.
- Maintain stakeholder alignment to define and drive execution of the network design advanced analytics roadmap.
- Partner with data scientist working on discovery, prototypes and pilot.
- Focus on experiment tracking.
- Build, deploy or publish models that run efficiently.
- Act as contributor in innovation activities.
- Help drive optimization, testing, and tooling to improve quality.
Other
- You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/optimization/simulation/ML models.
- You will work closely with process owners, product owners and final business users.
- You will be an internal ambassador of the team's culture around data and analytics.
- You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing.
- General Supply Chain (inventory management, transportation, …) and Finance knowledge is a plus.
- Background in Operations Research is a plus.
- Graph theory knowledge (preferably experience with NetworkX library) is a plus.
- Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.
- Experience with managing stakeholder expectations.
- Experience with causal inference.
- Experience in Forecasting.
- Experience with OOP.
- Experience with Agile methodology for team work and analytics ‘product’ creation.
- Experience with Azure cloud services is a plus.
- Fluent in Docker is a plus.
- Fluent with design and management of APIs is a plus.
- Experience with distributed systems is a plus.
- Experience with Databricks and Mlflow is a plus.
