Senior Data Scientist (P353)

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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This role will play a meaningful part in advancing measurement infrastructure, supporting Objective Based Measurement (OBM), research towards innovating the BCC construct, and contributing to ambiguous, exploratory work tied to these future allocation capabilities.

This is a highly technical, research-oriented role designed for a DSR who thrives in uncertainty, can operate across measurement, allocation, and reporting domains, and is comfortable owning pieces of foundational science and infrastructure rather than narrowly scoped analyses.

This position is critical to maintaining and advancing BCC’s measurement credibility while enabling future research and allocation capabilities. The work will shape how impact is measured, understood, and trusted across Loyalty & Incentives’ partners and clients.

RESPONSIBILITIES

The Data Scientist will be expected to own and contribute across several workstreams, including but not limited to:

Measurement Infrastructure & Science

• Own and evolve meaningful portions of BCC measurement infrastructure, including data assets, pipelines, and validation frameworks


• Advance measurement pipelines to support OBM and other constrained testing environments


• Support enhancements and development of reporting assets as needed.


• Design, evaluate, and document test/control methodologies with many constraints (e.g., limited controls, partial exposure, market-level tests)


• Clearly articulate tradeoffs, assumptions, and limitations in measurement approaches

Research & Discovery

• Support or lead discovery work for LCM as a Promised Benefit, where we aim to understand how our allocation sciences can be redesigned to better drive value across earned households


• Contribute to research efforts with loosely defined problem statements, operating effectively in open-ended discovery phases


• Translate analytical findings into implications for targeting, execution, and measurement strategy

Model & Lifecycle Support (Adjacency)

• Support model lifecycle activities including retraining, monitoring, and maintenance where relevant


• Potentially contribute to forecasting, expectation-adjacent work, or allocation-informed measurement efforts

Cross‑Functional Partnership

• Collaborate effectively with allocation, measurement, product, and engineering partners


• Support cross-functional stakeholders independently by providing clear, well-documented analytical outputs


• Flex between measurement- and allocation-adjacent needs as priorities shift

QUALIFICATIONS, SKILLS, AND EXPERIENCE

• Bachelor or Master's degree in mathematics, statistics, analytics, data science, AI or related discipline


• 2+ years of experience in consulting or professional services;


• 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to stakeholders


• 2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.


• Comfort working in environments with CI/CD, QA rigor, and package development best practices


• Prior exposure to model lifecycle support (maintenance, retraining, monitoring)


• Hands-on experience with experimental design and test/control frameworks, especially in imperfect or constrained environments.


• Ability to reason through analytical tradeoffs and limitations and document them, clearly communicating these learnings with less technical audiences for effective decision making, comfort operating in open-ended, exploratory discovery phases


• Strong statistical and analytical foundations with an applied mindset


• Ability to create computationally efficient solutions


• Data visualization skills and ability to present technical solutions to non-technical audiences


• Strong interpersonal and communication skills.


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


• A natural curiosity that embraces change, experimentation, and learning from failure.


• Proficient in our product’s technology stack (Azure, Databricks, Pyspark)


• Ability to work in a highly collaborative environment and within a cross-functional team.


• Passionate about data, Supervised Learning/Machine Learning. Understanding of AI algorithms is a plus.


• Familiarity of KPM Audience Building best practices is a plus

#LI-AB1

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

$98,000 - $169,050 USD