Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States.

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

• 3 or more years’ experience in a data analyst or data scientist role
• Demonstrated ability to take analytics/reporting/data science projects from start to finish – including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
• Advanced knowledge of Python – especially with respect to the data analysis, statistical modelling, and machine learning stacks
• Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
• Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
• Experience writing DAGs in Apache Airflow
• Experience using Docker to containerize workflows
• Experience interacting with *nix OS’ through the command line
• Experience with Plotly Dash or Streamlit
• Familiarity with Selenium is a plus
• Familiarity with numerical optimization is a plus
• Bachelor’s Degree or higher in Analytics / Statistics / Data Science or other related subjects
• Strong working knowledge of utilizing standard MS 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 processes and teach others

Candidates that do not demonstrate all of the above are still strongly encouraged to a

apply

• Applicants should submit a paragraph summarizing one of their data science projects – the challenges they faced and how they overcame it
• Applicants should also provide links to their GitHub profiles or portfolios