Data Scientist Intern

Key Responsibilities

• Contribute to the collecting, cleaning, and preprocessing of large datasets from multiple sources.
• Contribute to exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Learn to develop and implement predictive models using machine learning and statistical methods.
• Collaborate with cross-functional teams to translate data insights into actionable recommendations.
• Learn to build and deploy annotation, training, and evaluation pipelines and automate workflows to improve efficiency.
• Learn to develop processes and tools to monitor and analyze model performance and data accuracy.
• Learn to visualize and present data for stakeholders using basic graphics/technologies.
• Use predictive modeling to enhance user experiences, revenue generation, and business initiatives.
• Learn and adapt methods from senior team members.
• Participate in peer reviews and provide constructive feedback.
• Demonstrate a drive to learn and master new technologies and techniques.

Qualifications & Tech Stack

• Pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or relevant field.
• Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule).
• Familiarity using systems such as SQL, Python or R.
• Understanding of basic descriptive and inferential statistics.
• Knowledge in data analysis methods and tools.
• Demonstrated strong and effective verbal, written, and interpersonal communication skills.
• Must be team-oriented, possess a positive attitude and work well with others.
• Driven problem solver with proven success in solving difficult problems.
• Consistently demonstrates quality and effectiveness in work documentation and organization.

Desired Qualifications:

• Previous experience working in a team environment.