Job Details

Data Scientist

  2025-12-08     Schnuck Markets     Baton Rouge,LA  
Description:

Data Scientist (Multiple)

Locations: Schnucks Store Support Center (Corporate Office)

Time Type: Full time

Job Description

Essential Job Responsibilities

  • Perform analysis using data science techniques on structured and unstructured data sets and develop solutions for targeted business needs.
  • Conduct statistical analysis and programming using statistical software.
  • Work with the team to mine data using modern tools and programming languages.
  • Implement models to uncover patterns and predictions creating business value and innovation.
  • Evaluate and design experiments to monitor key metrics and identify improvement opportunities.
  • Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns.
  • Participate in presentations and communicate results of analysis and findings.
  • Evaluate and utilize appropriate BI/data visualization tools available in the toolkit to streamline insights deployment.

Minimum Requirements

  • Required Education: Master's Degree in Data Science or closely-related degree.

Required Knowledge, Skills and Abilities

  • Strong working knowledge of Machine Learning, Natural Language Processing, Deep Learning techniques, and Customer Lifetime Value modeling.
  • Strong understanding of Predictive Analysis and Market Analysis.
  • Strong proficiency using SQL and Python.

Work Environment

  • 40 hours per week during office hours of 8:00am 5:00pm Monday through Friday. Corporate remote work.

Schnucks is an Equal Opportunity Employer.

Additional Requirements Internal Candidates:

  • Store/Facility Teammates: minimum of six months employment with Schnucks preferred.
  • Store Support Center Teammates: minimum of one year employment with Schnucks preferred.
  • Must be in good standing (not on a performance improvement plan or active discipline).
  • If invited for an interview, must have manager approval based on performance.


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