R Programmer/ IT - Technology Architect | data science | Machine Learning

Overview

On Site
$55 - $60
Contract - W2
Contract - 6 Month(s)

Skills

data science
Machine Learning
R Programmer
Statistical Models
R Models
Bitbucket
ETL

Job Details

Job title: R Programmer/ IT - Technology Architect | data science | Machine Learning
Duration of the project: 1 year
Work Location with Zip code: Jersey City,07302, NJ
Please confirm if this would be onsite from day one OR Initial remote for 2-3 months and then expecting candidate to work from office OR 100% Remote: 4 Days work from Office Mandatory
Is this an 100% remote role? No
Vendor Rate Range (min to max rate you can offer): -Best rate and make it reasonable.
Do you have budget approved for this request? Yes
Minimum years of experience required: 5+
Are you OK with H1B candidates? Preferably Citizens
Would you require the candidates to meet you for in person interview? Yes(F2F)
Is Skype/WebEx interview, OK? No
Must Have Skills (TOP 3 SKILLS)
R, R programming, Statistical Models, Bitbucket, ETL, and SQL
Job Description:
Role Overview: Develop and deploy statistical and machine learning models using R programming to solve business problems, leveraging 5+ years of experience in a mid-level data science role.
At least 5+ years of strong hands-on experience in R programming, working with R Models, and Developing Statistical Machine Learning Models using R
Model Development: Build and implement models (e.g., regression, random forests) using R programming packages like caret, dplyr, and tidyr for predictive analytics.
Productionization: Productionize R programming models using Bitbucket for version control, CI/CD pipelines, and collaboration with data engineering teams for scalable deployment.
ETL Pipelines: Create and maintain ETL workflows in R programming to extract, transform, and load data from diverse sources using packages like data. table or dplyr.
SQL Integration: Write complex SQL queries to preprocess data, integrating results into R programming workflows for modeling and analysis.
Data Analysis & Visualization: Perform statistical analysis and create visualizations using R programming tools like ggplot2 or shiny to communicate insights to stakeholders.
Collaboration & Documentation: Work with cross-functional teams to translate requirements into R programming solutions, documenting code and processes in Bitbucket repositories.
Qualifications: Bachelor s degree in a related field, with a Mathematics background
5+ years of R programming experience, expertise in Bitbucket, ETL, and SQL, with strong analytical and communication skills

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