FAQs
What is the duration of the internship?
The internship lasts twelve (12) to sixteen (16) weeks, with various start dates throughout the year.
What is the primary focus of the Data Automation and Visualization Intern role?
The primary focus is to design, implement, and enhance quality systems for efficiency improvements, and to collaborate on quality data with cross-functional partners.
What educational background is required for this internship?
Candidates should currently have, or be in the process of obtaining, a Bachelor's or Master's degree in computer science, data science, or a related field.
What technical skills are required for this position?
Candidates should have knowledge in Statistics, Artificial Intelligence (AI) or Machine Learning (ML), and Python.
Is work authorization required for this role?
Yes, candidates must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
What are the preferred qualifications for this role?
Preferred qualifications include being curious, self-driven, analytical, having experience with Meta Gen AI, database (SQL), data visualization using Tableau, and an intent to return to a degree program after the internship.
What responsibilities will the intern have regarding data?
The intern will be responsible for architecting and implementing automated data processing systems, designing innovative concepts for efficiency enhancements, utilizing internal AI tools for insights, and managing any issues or user feedback.
Is there an opportunity for full-time positions after the internship?
The job description does not specifically mention full-time opportunities, but it emphasizes the intent to return to a degree program after completion of the internship.
How does Meta ensure equal employment opportunities?
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer, and does not discriminate based on various legally protected characteristics.
What kind of projects might the intern work on?
The intern may work on projects related to product quality monitoring, data-driven storytelling, and efficiency improvements using data visualization and automation techniques.