8451 Chicago , IL 60602
Posted 1 week ago
Lead Data Scientist - Enterprise Pricing & Promotion (P1606)
Cincinnati, Chicago, New York, Portland, Deerfield
SUMMARY:
We are a community of Data Scientists and Engineers that work to improve the shopping experiences of our customers, both in-store and online. This Lead Data Scientist 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 Lead 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:
Lead 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
Supervise and mentor junior Data Scientists in deploying analytical solutions and their integration into products
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, Operations Research, Applied Statistics, or related field
4+ 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
4+ years of experience in tech consulting, retail or related professional services is preferred
Experience developing and deploying solutions using Optimization methods 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
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