Senior R Data Scientist
$100K+ Salary with Bonus and Benefits Work Onsite 5 Days A Week Leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States is seeking a Senior R Data Scientist. Must Be Advanced In R and Live In Queens, NY or Long Island, NYWe 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 Requirements:
· Bachelor’s Degree or higher in Analytics / Statistics / Data Science or other related subjects
· Demonstrated ability to take analytics/reporting/data science projects from start to finish – including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
· At least 3 years of experience utilizing R for analytics, reporting, dashboarding and data science projects. Advanced knowledge of R’s data analysis, machine learning, statistical modelling/analysis and dashboarding packages is required
· At least 3 years of experience developing web apps and visualizations in R using Shiny, flexdashboard, shinydashboard and plotly
· At least 3 years of experience utilizing Python for data wrangling, reporting & analytics, and machine learning. Advanced knowledge of Python’s data analysis, machine learning, statistical modelling/analysis and dashboarding packages is required
· 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 numerical optimization techniques such as linear programming and constraint programming. Familiarity with Google’s OR tools is a plus
· Experience writing DAGs in Apache Airflow
· Experience using Docker to containerize workflows
· Experience writing detailed documentation for technical audiences and how to guides for non-technical audiences
· Experience with testing 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 front end web technologies is a plus
· Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point
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