We are a community of Data Scientists and Engineers that work to improve the shopping experiences of our customers, both in-store and online. The Senior Data Scientist within this role requires a unique mix of software engineering and data science skills necessary to create, deploy and maintain computationally efficient optimization implementations, frameworks, and end-to-end solutions. This role requires a strong understanding of math, algorithms, machine learning and data pipelines that will scale across many users and/or large, complex, and diverse data sets.

The role is for a Senior Data Scientist on the Enterprise Pricing & Promotions (EPP) team. EPP has a long-term focus to optimize pricing and promotion decisions at Kroger, including regular pricing, temporary price reductions, in-store promotional displays, weekly ad, and the various promotion tactics that our customers use to manage their grocery budgets. The role will support the deployment and maintenance of EPP’s cutting-edge prescriptive solutions that Kroger uses to establish optimal prices and promotions to drive multiple, simultaneous business objectives.  

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) Drive organizational innovation based on progress being made via academic and industry best practices

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

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 developing cloud-based software solutions and understanding of design for scalability, performance, and reliability 2+ years of experience in tech consulting, retail or related professional services is preferred Experience developing and deploying pricing solutions is a plus 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 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 Excellent communication skills, particularly on technical topics

#LI-AB1