Senior Data Scientist (P3495)

84.51° Overview:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

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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

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Pay Transparency and Benefits

• The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.


• Below is a list of some of the benefits we offer our associates:




• Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.


• Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.


• Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range

$97,000 - $166,750 USD