Senior Data Scientist (P4528)

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°!

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Senior Data Scientist (P4528)

Summary

The SCORe team is seeking a Senior Data Scientist to support supply chain & retail operations workstreams, focusing on machine learning, optimization, and simulation sciences. The ideal candidate will possess strong business acumen in the supply chain & retail operations industry and be familiar with 84.51° and Kroger operations. This role combines technical and research skills with a deep understanding of business operations and most closely aligns with a Machine Learning Engineering (MLE) and/or Statistical Learning (SL) role.

Responsibilities

• Lead the development and delivery of analytical plans to support client roadmaps, ensuring the adoption of best practices and innovative ideas.


• Scope and manage projects from inception to completion, ensuring timely delivery to specifications.


• Develop and support MLOPs for production sciences.


• Research and implement Optimization models to improve supply chain and retail operations.


• Collaborate with stakeholders to understand client objectives and customer insights, designing best-in-class solutions.


• Transition project work from discovery to pre-production using the latest tech stack.


• Partner with engineering, product, and research teams to implement best practices for analysis, storage, and quality assurance.


• Implement software solutions using best practices of coding standards and quality assurance with regards to maintainability and testing.


• Experiment with innovative machine learning methods and conduct analytic experiments to support project development and business objectives; share findings with the team.


• Identify opportunities for standardization and automation of existing solutions/processes, contributing to enhancements that maximize team potential and stakeholder value.


• Interpret business results and develop actionable recommendations from data analysis to build relevant customer stories for stakeholders.


• Contribute to and maintain SCORe documentation.


• Challenge and improve 84.51° analytic capabilities, solutions, and best practices.


• Follow best practices in space/resource management to ensure efficient utilization of analytic resources and timely delivery of business deliverables.


• Partner with leaders across projects to prioritize work, identify risks and opportunities, and streamline team execution.


• Support the near real-time science delivery of optimization models.


• Lead in upskilling the data science function in new and emerging technologies through trainings, learning pathways, and documentation.


• Support implementation and participate in training plans for the DSR function.


• Deliver enterprise-wide model results in near real-time.


• Possess data engineering experience related to manipulating and moving large data sets efficiently.

Qualifications, Skills, and Experience

• Bachelor's degree in mathematics, statistics, analytics, data science, or a related discipline.


• 2+ years of experience in consulting or professional services, with at least 2 years focused on retail operations and supply chains.


• 2+ years of experience using advanced algorithms, programming languages, or technologies to develop technical analytics solutions or capabilities.


• 2+ years experience developing and implementing enterprise-scale machine learning and/or optimization models.


• 2+ years of experience developing and implementing on cloud solutions (Azure, Databricks, etc.)


• Proficiency in querying data from relational databases.


• Experience using Python, or similar statistical software to develop analytical solutions.


• Expertise in data wrangling, data cleaning and preparation, and dimensionality reduction.


• Familiarity with Big Data concepts, tools, and architecture.


• Ability to create computationally efficient solutions.


• Data visualization skills and the ability to present technical solutions to a non-technical audience.


• Strong analytical, creative problem-solving, and decision-making skills.


• Strong business acumen; grocery and/or retail experience is a plus.


• Passionate about data, analysis, and insights.


• Natural curiosity that embraces change and a willingness to try new things and learn from failure.


• Ability to work in a highly collaborative environment.

#LI-SSS

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