Senior Data Scientist (P4513)

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.

84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51°!

__________________________________________________________

Senior Data Scientist (P4513)

Summary

The SCORe team is seeking a Senior Data Scientist to support ecommerce retail operations, focusing on optimization and data science. The ideal candidate combines strong technical skills in optimization and production-quality code development with a practical understanding of retail operations. This role most closely aligns with an Optimization Science / Operations Research skillset.

Responsibilities

• Research, develop, and implement optimization models that directly support live ecommerce retail operations at scale.
• Write production-grade, computationally efficient code that supports near real-time decision-making for in-store and ecommerce operations.
• Lead the development and delivery of analytical plans to support client roadmaps, ensuring the adoption of best practices and innovative ideas.
• Collaborate with stakeholders to understand business objectives, designing and delivering best-in-class solutions.
• Partner with engineering, product, and research teams to implement best practices for analysis, storage, and quality assurance.
• Conduct analytic experiments and explore emerging methods to support project development and business objectives; share findings with the team.
  
  

Qualifications, Skills, And Experience

• Bachelor's degree in mathematics, statistics, operations research, data science, or a related discipline.
• 2+ years of experience developing and implementing optimization models, preferably at enterprise scale.
• 2+ years of experience writing production-quality code in Python.
• 2+ years of experience developing and deploying solutions on cloud platforms (Azure, Databricks, etc.).
• Proficiency in querying and manipulating large datasets from relational databases.
• Expertise in data wrangling, cleaning, and preparation.
• Ability to present technical solutions to a non-technical audience.
• Strong analytical and creative problem-solving skills.
• Grocery, retail, and/or ecommerce operations experience is a plus.
  
  

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: 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