Data Scientist

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.