Data Scientist

  • Jersey City, NJ
  • Posted 7 days ago | Updated 7 days ago

Overview

On Site
Hybrid
$30 - $40
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

R Programming
Bitbucket
dplyr

Job Details

Job Title: Data Scientist with R Programming Statistical Machine Learning Model Expert

Location: New Jersey

Duration: Long Term

Job Description

We are seeking a mid-level Data Science professional with at least 3 years of hands-on experience in R Programming, machine learning model development, and ETL processes, with proven expertise in Bitbucket and SQL. The ideal candidate will have a strong analytical mindset and the ability to develop and productionize models that drive real-world impact.

Role Overview

Design, develop, and deploy statistical and machine learning models using R programming to solve business problems across various domains.

Leverage 3+ years of experience in data science to contribute to impactful, data-driven decision-making.

Key Responsibilities

Model Development

  • Build and implement predictive models (e.g., regression, random forests) using R packages such as caret, dplyr, and tidyr.
  • Analyze datasets to identify patterns, trends, and actionable insights.

Productionization

  • Productionize R models using Bitbucket for version control and support CI/CD pipelines for seamless deployment.
  • Collaborate with data engineering teams to ensure scalable and robust implementation of models.

ETL Pipelines

Design and maintain ETL workflows in R using tools like data. Table and dplyr to ingest and transform data from various sources.

SQL Integration

Write and optimize complex SQL queries to preprocess and integrate data with R-based workflows.

Data Analysis & Visualization

  • Conduct exploratory data analysis and statistical assessments.
  • Create intuitive visualizations and dashboards using ggplot2 or shiny to present insights to business stakeholders.

Collaboration & Documentation

  • Engage with cross-functional teams to understand requirements and translate them into R-based solutions.
  • Maintain detailed documentation of code, workflows, and processes within Bitbucket repositories.

Required Skills:

  • Strong expertise in R Programming and statistical modeling.
  • Proficient with Bitbucket for version control and collaboration.
  • Solid experience with ETL processes, data wrangling, and pipeline development.
  • Advanced SQL skills for data extraction and preprocessing.
  • Proficiency in R libraries: caret, dplyr, tidyr, data.table, ggplot2, shiny.
  • Strong communication skills and ability to work collaboratively in a team environment.
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