SUMMARY:

We are a community of analysts that act as the voice of the customer – they share their story with us each and every day. Through simple, comprehensive, purposeful analytics, we fearlessly bring these customer stories and journeys to life. Our 360° customer view allows us to anticipate customer needs, thus enabling our clients to connect with their customers in meaningful, relevant ways.

The Stores, Assortment, and Space (SAS) team is looking for a Senior ML Engineer to join the team. This role will focus on developing technical solutions to support assortment decision-making at Kroger, building packages and tools that will enable reliable and efficient execution and delivery of 84.51°’s best-in-class assortment data and sciences to internal and external stakeholders. The ideal candidate for this role should have strong technical skills and be comfortable collaborating cross-functionally and with data scientists and data engineers to develop advanced analytical methods and scale them in production.

RESPONSIBILITIES:

• Support the technical development of foundational assortment sciences and data products end-to-end, including
• Documentation
• Version control
• CI/CD
• Quality checks
• Effectively managing projects, tasks and stakeholders to ensure that projects are delivered on time, to project brief specifications, and computationally efficient
• Identifying opportunities for standardization & automation of existing solutions and processes.
• Identifying and prototyping improved predictive or optimization models.
• Working closely with key internal stakeholders to ensure SLA’s are met and model pipeline output is consistent, reliable, and reproducible.
• Maintain and enhance existing internal applications and pipelines. Proactively prioritize issues and requests. 
• Partner with a wide range of technical personas (i.e. engineering, architecture) to identify and implement best practices in tech stack, tool usage, and code development.

QUALIFICATIONS, SKILLS, AND EXPERIENCE: 

• 2 years of experience using Python or Pyspark to develop analytical solutions.
• 2 years of experience with big data tools, and architecture (e.g. Hadoop, Spark).
• 2 years of experience with data wrangling, data cleaning and prep, dimensionality reduction.
• Experience writing and optimizing query execution in Databricks.
• Experience building or maintaining modular applications, pipelines, or libraries.
• Passionate about technical solution development and code management best practices.
• Demonstrates grit when solving complex and drawn-out problems.
• Ability to work in a highly collaborative environment.
• Strong academic background in computer science, engineering, or similar discipline.
• Experience with developing web applications (Python Dash, R Shiny) a plus
• Grocery and/or retail experience is a plus.

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