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

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Facebook users interact with our consumer and business products.
• Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
• Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
• Building models of user behaviors for analysis or to power production systems.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Design and implement dashboards and reports that track key business metrics and provide actionable insights.
• Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
• Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Facebook.

Minimum Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, and 6 months of experience in the job offered or in a related occupation.
• Requires 6 months of experience in the job offered or in a Data Science-related occupation in the following:
• 1. Machine learning techniques
• 2. Working with large data sets and network-based data (TCP or HTTP)
• 3. ETL (Extract, Transform, Load) processes
• 4. Relational database (SQL or PL*SQL)
• 5. Developing in scripting language: PHP, Python, or Perl
• 6. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
• 7. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
• 8. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics, AND/OR
• 9. 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. $२,०९,७२०/year to $२,३५,४००/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.