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84.51°

Senior Data Scientist (P3692)

84.51°, WorkFromHome

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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.

Join us at 84.51°!

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Senior Data Scientist – G2, Health & Wellness (P3692)

Chicago

SUMMARY :

The Health & Wellness (H&W) team at 84.51° is the Data Science hub for Kroger Health supporting initiatives across their spectrum of work including Vaccines, Food as Medicine, Clinical Targeting, and more. We leverage large volumes of data to develop powerful sciences using cutting edge machine learning, natural language processing, and mathematical techniques to improve products, processes, and capabilities that make our customers’ lives easier. As a Senior Data Scientist on this team, you will play a pivotal role in developing innovative products and capabilities that deliver value in the H&W space, influencing our Kroger Health stakeholders through actionable insights, and supporting a culture of learning and growth.

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
  • Understand business requirements to manage trade-off across scale, risk, and accuracy to maximize value

QUALIFICATIONS, SKILLS, AND EXPERIENCE :

  • Bachelor’s degree or higher in Computer Science, Computer Engineering, Applied Statistics, or related field
  • 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
  • 2+ years of experience in tech consulting, retail or related professional services is preferred
  • Experience in the Healthcare space (pharmacy, payer, provider, etc.) is a plus
  • 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
  • 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
  • Excellent communication skills, particularly on technical topics

#LI-SSS

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: Hybrid work environment. 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

$67,000 - $181,250 USD

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84.51° Demographic Questions

Together, we are stronger and can achieve more

At 84.51°, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51° associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work – embracing who they are and celebrating what they can become.

We continually strive to ensure 84.51° is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences they’ve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.

Your responses will be used (in aggregate only) to help us identifyareas of improvement in our process.

Your responseswill not be associated with your specific application andwill not in any way be used in the hiring decision.

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