Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.

Data Scientist Responsibilities

• Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure.
• Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives.
• Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams.
• Drive execution through fast iteration.
• Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps.
• Drive efficient data exploration and modeling.
• Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies.
• Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
• Telecommuting is permitted from anywhere in the U.S.

Minimum Qualifications

• Requires a Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, or a related field (or foreign equivalent). Requires also completion of one undergraduate-level course, research project, or internship involving the following:
• 1. Performing quantitative analysis including data mining on highly complex data sets
• 2. Data querying languages including SQL Scripting language(s) and Python
• 3. Statistical or mathematical software including one of the following: R, SAS, or Matlab
• 4. Applied statistics or experimentation, such as A/B testing, in an industry setting
• 5. Machine learning techniques
• 6. Relational databases
• 7. Large-scale data processing infrastructures using distributed systems
• 8. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

About Meta

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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$125,270/year to $154,660/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.