• Elicit technical requirements and propose efficient data-oriented solutions. • Define and implement data models to meet business requirements. • Develop Data Science solutions involving supervised and unsupervised models, predictive modeling, and exploratory analyses. • Execute all stages of the Data Science solution lifecycle: business understanding, feature/variable preparation, model development, and performance validation. • Assist in building and maintaining data engineering pipelines, ensuring scalability and security. • Design and implement model usage and monitoring practices together with business areas. • Implement systems and routines that ensure data quality and consistency. • Maintain technical documentation for implemented solutions. • Communicate complex insights simply and effectively to non-technical stakeholders. • Interact with professionals across different profiles and seniority levels in a dynamic, changing environment.

Role Description 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. - 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 - 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. Benefits - 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. Company Description 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.

• Own our marketing measurement infrastructure, attribution frameworks and analytics function • Manage a team of data analysts while staying hands-on: writing SQL, running experiments, and presenting findings • Champion data quality and build self-serve tools • Manage and develop a team: set priorities, define standards, conduct 1:1s • Present findings and roadmap updates to senior leadership • Own end-to-end marketing measurement strategy across various channels • Manage measurement vendor relationships and ensure data quality • Build and update Tableau dashboards for marketing performance and insights • Proactively surface insights and identify conversion levers to build a roadmap of testing ideas

• Act as a Strategic Thought Partner: Partner directly with Product Managers and other leaders to frame key business problems, define our measurement strategy, and guide product innovations. • Architect Marketplace Intelligence: Build and deploy sophisticated predictive models to refine Kindred’s matching algorithms, optimizing for growth, trust and liquidity. • Lead and Scale Experimentation: Own the end-to-end experimental framework, applying advanced causal inference to measure the ripple effects of product changes on community sentiment and marketplace health. • Own the Full-Stack Data Lifecycle: Lead the design of robust event structures with Product Engineers and collaborate with Data Engineering to build a scalable data platform that ensures our data is "born clean" and ready for modeling. • Influence and Educate: Translate complex analytical concepts into clear, actionable recommendations and effectively persuade senior stakeholders to adopt data-informed strategies.