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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Komodo Health, the Analytics Consulting team specializes in providing advanced analytics solutions to healthcare organizations, leveraging real-world data to drive insights and decision-making. Looking back on your first 12 months at Komodo Health, you will have: - Delivered high-value data analytics projects. - Implemented client solutions using techniques like advanced statistical analysis or ML for targeted therapeutic areas in our patient population. - Developed a deep understanding of healthcare claims data. - Constructed complex statistical and mathematical models and developed supporting platforms for their use. - Effectively partnered with teams to translate client requirements into analytics to solve client needs with the capabilities of datasets available at Komodo. - Worked with the data science team to scale our solutions, automate code, and centralize complex logic for reusability. Advocated for good engineering practices within the team. - Presented findings, insights and analytical results to internal and external partners for client deliveries, as well as the larger DS function for continued growth and learning. - Worked with clients to creatively resolve issues and further develop analyses. Qualifications - Bachelor's degree (Master's or PhD degree preferred) in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science) or equivalent practical experience. - Analytical mindset and the ability to solve complex problems with limited supervision. - At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation). - Familiarity with PySpark and R. - Experience working with a large anonymized patient level healthcare databases (preferably administrative claims or EHR). - Comfort communicating complex data science topics to audiences of variable technical capability. - Proficient with complex topics in ML modeling, advanced statistics/biostatistics, algorithm design and knowledge of ML software packages. - Ability to work well both independently and collaboratively in a fast-paced and demanding agile environment. - Interest in growing skills as a Data Scientist and being willing to learn and teach as part of a team. - Strong business acumen demonstrated by a good understanding of how analytics insights (preferably in healthcare analytics) tie into business goals. - High motivation, work ethic, and self-discipline to organize and complete tasks. Requirements - Judgement & Creativity: Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas. - Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster. - Applies both judgment and creativity when working with AI and understands its limitations. - Curiosity & Initiative: Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role. - Has developed or shared AI-enhanced workflows, automations, or prompts with others. - Integration & Productivity: Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work. - Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design. - Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot to improve speed, clarity, or creative output. Benefits - Comprehensive health, dental, and vision insurance. - Flexible time off and holidays. - 401(k) with company match. - Disability insurance and life insurance. - Leaves of absence in accordance with applicable state and local laws and regulations and company policy. Company Description Komodo Health's mission is to reduce the global burden of disease through smarter use of data. The Healthcare Map serves as the foundation for a powerful suite of software applications, helping answer healthcare’s most complex questions.