Overview
As our Data Science & AI Intern, you'll work directly with the Director of Operations and our data analytics team to implement machine learning solutions and data automation processes that drive operational efficiency. This paid internship offers hands-on experience in applying AI technologies to real-world logistics challenges with potential for future employment opportunities.
Responsibilities
- Analyze operational datasets to identify patterns, inefficiencies, and opportunities for improvement
- Develop and implement machine learning models to enhance predictive capabilities
- Create automated data processing workflows using Python and other relevant technologies
- Collaborate with the data analytics team on special projects and initiatives
- Present findings and recommendations to leadership team
- Document processes, methodologies, and results for knowledge transfer
- Assist in the evaluation and implementation of new AI tools and technologies
- Full-time (40 hours/week), Monday-Friday with occasional Saturday work
Qualifications
- Currently pursuing a degree in Computer Science, Data Science, Information Systems, or related field
- Intermediate proficiency in Python programming
- Experience with data analysis and visualization libraries (Pandas, NumPy, Matplotlib, etc.)
- Understanding of machine learning concepts and frameworks (TensorFlow, Neural Network or PyTorch)
- Basic knowledge of database querying (SQL)
- Strong analytical thinking and problem-solving skills
- Excellent written and verbal communication skills
- Ability to work independently and as part of a team
- In-office position at our Sterling, VA headquarters
