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

• Applying expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta 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.
• Build 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.

Minimum Qualifications

• Requires a Master's degree (or foreign equivalent) in Mathematics, Statistics, or related field
• Requires completion of a graduate-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: SQL
• 3. Scripting language: Python
• 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
• 5. Applied statistics or experimentation, such as 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
• 10. Quantitative analysis techniques, including one of the following: 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.
$182,583/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 Meta is proud to be an Equal Employment Opportunity 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 committ