Data Science Intern

GAINSystems • Atlanta, GA

8d

About The Position

We are looking for a motivated and technically curious Data Science Intern to join our team. You will work alongside experienced data scientists and engineers on real-world problems, contributing to feature engineering, data pipeline development, and automation workflows that power our machine learning initiatives. This is a hands-on role where your code ships to production systems.

Requirements

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Strong proficiency in Python (pandas, NumPy, scikit-learn)
• Foundational understanding of data science concepts — supervised/unsupervised learning, model evaluation, feature selection
• Demonstrated ability to use AI tools to write, debug, and refactor code effectively
• Comfort working with structured and semi-structured data (CSV, JSON, SQL)

Nice To Haves

• Familiarity with Azure cloud services (Azure Data Lake, Azure Data Factory, or similar)
• Exposure to Databricks — notebooks, Delta tables, or Spark-based data processing
• Experience with MLflow for experiment tracking and model management
• Experience with version control (Git) and collaborative development workflows
• Basic understanding of data quality and testing practices

Responsibilities

• Design and implement feature engineering pipelines to prepare data for machine learning models
• Build and maintain automated data pipelines for ingestion, transformation, and validation
• Develop Python scripts and utilities to streamline repetitive data science workflows
• Collaborate with the data science team to understand business requirements and translate them into clean, testable code
• Use AI coding tools (e.g., GitHub Copilot, Claude, ChatGPT) fluently to accelerate development and improve code quality
• Document your work clearly so that pipelines and features are maintainable and reproducible

Benefits

• Work on software that leverages AI and ML to solve real logistics challenges for customers
• Direct impact on developer experience across the entire engineering org
• Collaborative, low-bureaucracy environment where engineers own their work end-to-end
• Competitive compensation and benefits
• We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.

What This Job Offers

• Career Level: Intern