Senior R Data Scientist- No Sponsership Offered. Working Onsite 5 Days A Week.

Senior R Data Scientist

College Point, NY

$100K+ Salary with Bonus and Benefits
Work Onsite 5 Days A Week
No Sponsorship Available for This Position

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, NY

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 Requirements:

1. Bachelor’s Degree or higher in Analytics / Statistics / Data Science or other related subjects
2. Demonstrated ability to take analytics/reporting/data science projects from start to finish – including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
3. 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
4. At least 3 years of experience developing web apps and visualizations in R using Shiny, flexdashboard, shinydashboard and plotly
5. 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
6. Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
7. Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
8. Experience with numerical optimization techniques such as linear programming and constraint programming. Familiarity with Google’s OR tools is a plus
9. Experience writing DAGs in Apache Airflow
10. Experience using Docker to containerize workflows
11. Experience writing detailed documentation for technical audiences and how to guides for non-technical audiences
12. Experience with testing and debugging large code bases
13. Experience using source management tools (e.g. TFS, Azure DevOps, Git)
14. Experience interacting with *nix OS’ through the command line
15. Familiarity with front end web technologies is a plus
16. Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point)