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84.51° is looking for a Senior Data Scientist to join their Health & Wellness team to develop innovative products and capabilities that deliver value in the H&W space, influencing Kroger Health stakeholders through actionable insights and supporting a culture of learning and growth.

Requirements

• 2+ years of experience using advanced algorithms, programming languages, or technologies
• 2+ years of experience developing cloud-based software solutions and understanding of design for scalability, performance, and reliability
• Strong skills in Python, Spark, and cloud technologies
• Comfort with independent learning of new technologies, and willingness to use unfamiliar tools
• Comfort exploring new data solutions and working to solve problems end-to-end including managing data quality for new assets & documenting for the future
• Ideal skill set includes some combination of proficiency in: Data Quality, Documentation, GenAI, Git, Data Architecture, Databricks & Azure set-up

Responsibilities

• Build, steward, and maintain product-grade solutions to manage and serve Data Science solutions to stakeholders.
• Explore creative solutions to deliver actionable insights to support the Kroger Health business, automating for continued use wherever relevant.
• Develop and contribute to Pharmacy data standards including documentation, packages, and templates.
• Explore, explain, document, and transform new, unique, and possibly unexplored data sources.
• Adhere to stringent quality assurance and documentation standards (GitHub, Alation, Confluence)
• Drive organization innovation based on progress being made via academic and industry best practices, especially in the Generative AI space.
• Support the team from a technical perspective, bringing company-wide best practices into the H&W space

Other

• Understand business requirements to manage trade-off across scale, risk, and accuracy to maximize value
• Experience in the Healthcare space (pharmacy, payer, provider, etc.) is a plus
• Natural curiosity that welcomes and embraces change and willingness to try new things and to fail.
• Ability to work in a collaborative, cross-functional (Product, Consulting, Engineering, Data Science) environment
• Strong project management skills and ability to manage multiple, simultaneous priorities when necessary