Data Scientist (Product)

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 (Product) Responsibilities

• Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of Facebook's infrastructure.
• Apply experience in quantitative analysis and data mining to improve, optimize, and expand Meta’s infrastructure across a variety of domains with an emphasis on long-term and strategic initiatives.
• Work cross-functionally as a strategic partner to define priorities and develop project roadmaps in synergy with partner teams.
• Build consensus and earn commitment from partners.
• 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.
• Generalize methodologies for broader application within and outside domain.
• Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
• Exercise limited judgment within defined procedures and practices to determine appropriate action.

Minimum Qualifications

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

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$166,698/year to $196,900/year + bonus + equity + benefits

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

Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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@meta.com.