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, 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.
• The Data Scientist Analytics role has work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating
  experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower
  operational and exploratory analysis, and evaluating and defining metrics.
• Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors,
  and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems.
• Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams.
• 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

• Master's degree in Statistics, Mathematics, Analytics, or a related field. Foreign degree equivalent is acceptable. Completion of a graduate-level course, research project, or internship in each of the following:
• 1. Machine learning techniques
• 2. Relational database (SQL or PL*SQL)
• 3. Developing in Python
• 4. Statistical analysis using R and MATLAB
• 5. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
• 6. Quantitative analysis techniques: clustering, regression, pattern recognition.

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.

$223,072/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.