Data Science, Analytics

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 Science, Analytics Responsibilities

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute our product decisions and product launches.
• Design and evaluate experiments and team/product holdouts.
• Set team goals, evaluate and define metrics, monitor key product metrics and their progress against goals, and understand root causes of changes in metrics.
• Propose what to build in the next roadmap.
• Understand ecosystems, user behaviors, and long-term trends.
• Influence product teams and company leaders through presentation of data-based recommendations.
• Spread best practices to analytics and product teams.

Minimum Qualifications

• Requires a Master's degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field and 3 years of experience in the job offered or in a data science - related occupation. Foreign equivalent accepted Experience must include 36 months involving each of the following:
• Machine learning techniques
• ETL (Extract, Transform, Load) processes
• Relational database (SQL or PL*SQL)
• Developing in Python
• Statistical analysis using R
• Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
• Quantitative analysis techniques: clustering, regression, pattern recognition, and descriptive and inferential statistics and
• 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. $250,104/year to $279,400/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.