Jr. R Python Developer

Job Title : Jr. R Python Developer


Location: Atlanta, GA / Remote


FTE Only

Job Description

Must Have Technical/Functional Skills


1-2 years of experience with R (academic, internship, or professional). Working knowledge of Python for scripting and data manipulation. Hands- on experience managing Posit Workbench, Connect, and GPU servers in enterprise environments. Familiarity with Linux command-line tools and scripting. Strong problem-solving and communication skills with a desire to work in a collaborative environment.

Roles & Responsibilities


We are looking for a motivated Junior R/Python Developer to join our team. In this role, you will help build and maintain data processing scripts, analytical workflows, and reporting solutions that support our analytics and business intelligence needs. You will assist in translating business requirements into technical tasks, ensuring data accuracy, consistency, and reliability across our systems.


You will collaborate with data scientists, data engineers, analysts, and business stakeholders to support the development of high quality and efficient analytical solutions. Success in this role requires a strong foundation in R and Python programming, basic SQL skills, a willingness to learn, and the ability to work effectively in a fast paced, collaborative environment. If you are eager to grow your technical skills, contribute to meaningful data projects, and learn from experienced team members, we would be happy to connect with you.

Key Responsibilities

Data Processing & Script Development
• Develop and maintain basic R and Python scripts for data cleaning, transformation, and preparation.
• Support building reusable code modules and automation components under senior developer guidance.
• Assist in writing functions, procedures, and small-scale utilities for data manipulation.

2. Data Analysis & Exploration
• Perform exploratory data analysis (EDA) to help identify patterns, anomalies, and insights in datasets.
• Create simple visualizations and summary reports using tools like ggplot2, Matplotlib, Seaborn, or Shiny/Dash (as applicable).
• Support team members by generating datasets needed for analytics or reporting.