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Data Automation and Visualization Intern (BS/Masters)

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Meta

Jan 16

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • Sunnyvale

Requirements

  • Currently has, or is in the process of obtaining, a Bachelors or Masters degree in computer science, data science or a related field.
  • Knowledge in Statistics, Artificial intelligence (AI)/machine learning (ML), Python.
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Strong team player and ability to collaborate with cross-functional teams and strong communication skills.
  • Curious, self-driven, analytical and excited to play with data.
  • Ability to thrive in a fast paced work environment.
  • Experience with Meta Gen AI, database (SQL), data visualization using Tableau.
  • Knowledge of statistical process.
  • Intent to return to a degree-program after the completion of the internship.

Responsibilities

  • Architect and implement automated data processing system to transform and present complex data in a simple, accessible manner.
  • Brainstorm and design innovative concepts for efficiency enhancement and quality monitoring improvements.
  • Utilize and integrate with internal AI tool to facilitate adaptive workflows, intelligent decision-making, and predictive insights based on data.
  • Manage and troubleshoot any issues/user feedback and enhancement requirements.

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.

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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