Advanced R Senior Data Scientist
100K-120K Plus Bonus and Benefits.
Working Onsite 5 Days A Week.
Our wholesale food and beverage company 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 and Job Requirements:
•Bachelor’s Degree or higher in Analytics / Statistics / Data Science or other related subjects
•At least 3 years of experience utilizing R for analytics/reporting/data science projects
•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 R’s data analysis, machine learning, statistical modelling/analysis and dashboarding packages
.Experience developing web apps and visualizations in Shiny, flexdashboard, shinydashboard and plotl
•Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
•Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
•Experience with web scraping frameworks
•Intermediate knowledge of Python
•Experience writing DAGs in Apache Airflow
•Experience writing detailed documentation both for technical and non-technical audiences
•Experience writing tests and debugging large code bases
•Experience using source management tools (e.g. TFS, Azure DevOps, Git)
•Experience interacting with *nix OS’ through the command line
•Familiarity with numerical optimization is a plus
•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