Data Scientist

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

• Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings.
• Proactively identify opportunities to improve the experience of businesses on the Facebook family of apps using data science.
• Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations.
• Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques.
• Design and execute experiments (e.g., A/B testing, multi-armed bandit).
• Effectively communicate insights and recommendations to business leads and influence strategic decision-making.
• Frequently switch between on-the-ground tactical execution and 30k foot strategy.
• Data infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.

Minimum Qualifications

• Bachelor's degree in Statistics, Mathematics, Business Analytics, or a related field and 12 months of experience in the job offered or a data-science related occupation.
  
  Experience must include 12 months involving the following:
• 1. Machine learning techniques
• 2. ETL (Extract, Transform, Load) processes
• 3. Relational database (SQL or PL*SQL)
• 4. Developing in Python
• 5. Statistical analysis using R
• 6. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
• 7. Quantitative analysis techniques: clustering, regression, pattern recognition and descriptive and inferential statistics
• 8. Communicating and presenting results of data analyses.

LocationsAbout 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. $209,720/year to $235,400/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.