Junior Data Scientist

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