The Kroger Co. is looking to optimize pricing and promotion decisions, including regular pricing, temporary price reductions, in-store promotional displays, weekly ad, and various promotion tactics to drive multiple, simultaneous business objectives.
Requirements
- Strong skills in Python, Spark, and cloud technologies
- Experience developing software using SDLC best practices, while leveraging CI/CD and MLOps to develop, test, and deploy
- Experience with technologies such as Azure, Spark, Databricks, Automation tools & MLOPS tools
- Experience building large-scale algorithmic solutions and deploying within a live production environment
- Comfort with independent learning of new technologies, and willingness to use unfamiliar tools
- Experience developing and deploying pricing solutions is a plus
- Experience with modular programming methods
Responsibilities
- Support the deployment, automation, and maintenance of cutting-edge Pricing & Promotion solutions that leverage machine learning and optimization techniques
- Develop and contribute to the Pricing & Promotion core optimization package using modular programming methods
- Build, steward, and maintain production-grade solutions to manage and serve machine learning and optimization models
- Scale and maintain machine learning and optimization solutions using best practices in DevOps and MLOps
- Collaborate with 84.51° and Kroger Product and Engineering teams to scale Pricing & Promotion solutions
- Understand business requirements to manage trade-off across scale, risk, and accuracy to maximize value
- Adhere to stringent quality assurance and documentation standards (GitHub, Sphinx, Confluence)
Other
- Bachelor's degree or higher in Computer Science, Computer Engineering, Applied Statistics, or related field
- 2+ years of experience using advanced algorithms, programming languages, or technologies
- 2+ years of experience in tech consulting, retail or related professional services is preferred
- Ability to work in a collaborative, cross-functional (Product, Engineering, Data Science) environment
- Strong project management skills and ability to manage multiple, simultaneous priorities when necessary
