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 Meta.

Minimum Qualifications

• Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 48 months of experience in the job offered or in a related occupation.
• Requires 48 months of experience involving the following:
• 1. Performing quantitative analysis including data mining on highly complex data sets
• 2. Scripting language(s) including Python
• 3. Data querying language(s) including SQL
• 4. Statistical or mathematical software: R
• 5. Applied statistics or experimentation, such as A/8 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
• 10. Quantitative analysis techniques, including one of the following: clustering. regression, pattern recognition, descriptive and inferential statistics, time-series forecasting, data visualization and exploratory data analysis and
• 11. Product interpretation and analysis such as Lifetime value, health and performance of a software product

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.

$248,920/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.