84.51° aims to understand the Kroger customer and act on their behalf by bringing an integrated, 360° view of the customer, enabling anticipation of needs, better business decisions, and making peoples' lives easier, ultimately growing loyalty to Kroger and CPG brands.
Requirements
- Python, PySpark, Git/GitHub, and Power BI
- Python/PySpark
- storytelling
- data munging
- machine learning & artificial intelligence
- An interest in, and experience writing, efficient and scalable code (Python, R, SQL, Spark, etc.)
- Familiarity with version control and/or process improvement and automation (GitHub)
- Experience with data visualization, storytelling, and communicating with diverse business audiences
- Familiarity with theory and application of multiple machine learning techniques (logistic regression, clustering, etc.) and statistical measurement capabilities (Test/Control Methodologies)
- Exposure or experience with generative AI technologies, with the interest & ability to leverage these tools to enhance data-driven insights and develop innovative solutions
Responsibilities
- building data pipelines
- surfacing actionable insights for clients through applied analytics
- machine learning model creation and deployment
- data curation
- machine learning
- statistical analysis
- leveraging generative AI technologies to enhance data-driven insights and develop innovative solutions
Other
- This program is in-office, with no remote options.
- 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 Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
- Must be graduating by the time the program starts - or looking for an early career change to our industry (0-3 years of experience)
- Strong business and commercial acumen with the ability to translate technical concepts for non-technical audiences and link analysis to business impact
- Natural curiosity that welcomes and embraces change and willingness to try new things and to fail
- Ability to work in teams with cross-functional partners such as consultants, engineering, and product owners
