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
- 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 modelling, and visualizations
- Advanced knowledge of Python with respect to the data analysis and machine learning stacks
- Experience in extracting, cleaning, and aggregating from different data sources
- Experience in building models using statistical modelling techniques and machine learning models
- Experience with building, diagnosing, and improving time series models
- Prior experience with demand forecasting and/or pricing analytics is a big plus
- Comfortable with using SQL to extract and transform data. Advanced knowledge of querying SQL databases and writing stored procedures is a big plus
- Familiarity with Docker and Docker Compose
- Experience interacting with *nix OS’ through the command line
- Familiarity with numerical optimization is a plus
- Familiarity with Apache Airflow is a plus
- Familiarity with Plotly Dash 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 apply
1. Applicants should submit a paragraph summarizing one of their data science projects – the challenges they faced and how they overcame it
2. Applicants should also provide links to their GitHub profiles or portfolios
