Job description

Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States. We operate over 144 locations nationwide.

We seek a highly motivated, technically proficient and business savvy Data Scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science projects that have far-reaching implications for all stakeholders across our organization.

Job Description
  • Experience effectively translating between business value, requirements, and technical solutions
  • Demonstrated ability to take real world analytics/data science projects from start to finish- including data cleaning, descriptive analysis, predictive modeling, and visualizations
  • Experience in extracting, cleaning, and aggregating from different data sources
  • Knowledge of statistical modeling techniques, machine learning and time series forecasting
  • Advanced knowledge of either Python or R with respect to their data analytical stacks
  • Comfortable with using SQL to extract and transform data. Advanced knowledge of querying SQL databases and writing stored procedures is a big plus
  • Experience with creating and deploying dashboards and custom visualizations
  • Familiarity with one of R Shiny or Plotly Dash
  • Experience with Django combined with front end framework like React is a plus
  • Bachelor's degree or higher in Analytics/Statistics/Data Science or related subjects
  • Strong working knowledge of utilizing standard MW+S Office tools (Excel, Word, and Power Point)
  • Ability to multi-task and adjust priorities based on workload and direction from management
  • Self-motivated to document process’ and teach others
  • Candidates that do not have all the above are still strongly encouraged to apply
You’ll Need To Submit Along With Your Resume
  • A paragraph summarizing one of their data science projects- the challenges they faced and how they overcame it
  • Provide link to their GitHub profiles or portfolio

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