Dash Job - Data Scientist - Restaurant Depot

:mega: Plotly Dash Skills: Familiarity with Plotly Dash is a plus.

Company: Restaurant Depot

Title: Data Scientist

Category: Full time

Location: Whitestone, NY, USA

Experience: Entry-mid level

Application: Link to apply


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 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.

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

Bachelors 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