Senior Data Scientist (P1553)

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°! __________________________________________________________ Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) You will be joining a team of data scientists operating within the PL&S at 84.51°. Our team partners across multiple portfolios, including Our Brands, Kroger Personal Finance, and the Kroger Enterprise Marketing organization, to support media strategy & execution, targeting, measurement, and enterprise level marketing initiatives. We work closely with the Our Brands and Kroger Personal Finance teams to plan, execute and measure targeted media and deliver insights that drive growth and efficiency. The team leads the execution of brand loyalty mailers for the Big 3 Our Brands, with a focus on rewarding high‑brand‑loyal households that drive the greatest business value. We also collaborate with Kroger Marketing to execute and measure activations across a range of initiatives, ensuring data driven insights inform business decisions. Our team is known for being subject matter experts of KPM processes for Kroger Model and owners of a broad set of analytical and external-facing tools. We solve complex client and customer problems by applying the most appropriate statistical and analytic approaches to answer meaningful business questions. In this role, you will be on the front lines supporting Sales and Account Management partners, while also developing deep expertise in retailer data. You will work hands-on with large-scale retailer databases and leverage the full suite of 84.51° technical and visualization tools, including Python, SQL, Excel, Power BI, and internal platforms, to deliver timely, relevant, and actionable insights. We expect all data scientists on our team to be deeply engaged in advanced analytics and comfortable working directly with data to drive impact. Responsibilities: Lead end-to-end analytics and data science projects, managing stakeholders and delivering solutions on time, within scope, and to business objectives. Develop a strong understanding of the end-to-end CRM (Our Brands Loyalty Mailer) targeting and measurement process to ensure the timely, accurate delivery of mailers and the generation of actionable insights. Apply optimizations and scientific enhancements in targeting to improve customer engagement and maximize ROI. Partner closely with Sales and Account Management to own the analytic relationship for OB, driving engagement and shaping analytical offerings through feedback and insight. Translate complex first-party data into clear, actionable customer stories and recommendations that inform media strategy, optimization, and business decisions. Drive continuous improvement through stronger measurement methodology, increased automation, and clearer data visualization that leads to more actionable insights. Attain deep expertise in 84.51° and KPM data assets, measurement techniques, QA processes, and analytic capabilities, confidently applying them to internal and external business needs. Collaborate across data science, product, engineering, and capabilities teams to validate new use cases, assess data quality, and support innovation. Mentor and support junior data scientists through onboarding, coaching, and knowledge sharing, while championing best practices across the data science community. Qualifications, Skills and Experience: Bachelor’s degree in statistics, mathematics, business analytics, economics, marketing, or related discipline. 2+ years of experience in retail, ad technology, digital media, and/or advertising analytics. 2+ years of experience in data science, ad technology, digital media, and/or advertising analytics. 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients. 2+ years of experience using advanced algorithms, programming languages (Python, SQL), or technologies in the development of technical analytics solutions, capabilities, and ad hoc analyses. Experience working cross-functionally to continuously improve existing solutions based on client feedback and validated demand. Strong interpersonal and communication skills including excellent verbal, written, presentation, and consultation skills. Comfortable conveying complex data science techniques and methodological approaches to less technical audiences – both internal and external. Strong analytical, problem-solving and decision-making skills. Strong data visualization and business acumen skills to link analysis to business impact (grocery and/or retail experience is a plus). Natural curiosity that welcomes and embraces ambiguity and change, with a willingness to try new things and to fail. Excellent attention to detail, organization skills and ability to work in a collaborative environment. #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

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