SUMMARY: We are a community of data scientists and engineers that work to improve the shopping experiences of our customers, both in-store and online. 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 systems that positively impact our customers.
QUALIFICATIONS, SKILLS, AND EXPERIENCE:
Strong organizational and project management skills
Python basic to intermediate
Azure cloud - basic
Databricks basic or ability to quickly learn how to work within Databricks
Jupyter notebooks basic to intermediate
Git version control basic to intermediate
Linux, basic comfortability to work on the command line
Ability to edit JSON files Good interpersonal and communication skills
1 or more years of experience working within a highly technical team
Key Responsibilities
Schedule and execute the templated jobs required to optimize pricing for each grocery category
Move data files from cloud environment to on-prem servers
Edit existing code, where necessary, to establish pricing specific business rules provided by Kroger stakeholders
Load data files into a Dash based interactive dashboard used by EPP and Kroger stakeholders to facilitate pricing optimization Running batch scripts
Collaborate with 84.51° EPP consultants to appropriately deploy pricing optimization solution within each scheduled grocery category; attend meetings, in-take business requirements, translate requirements to code, align on and complete action items
Adhere to stringent quality assurance and documentation standards (e.g., git, markdown, Confluence)