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

• Build business intelligence methodologies, processes, and analytic capabilities in support of escalation teams who have shared needs to make operational decisions based on data regarding their workflows.


• Use quantitative and qualitative research to perform analyses on operational risks, opportunities, and issues.


• Create solutions that deliver the awareness and insights teams' need, in a way that is accessible, timely, and meaningful.


• Synthesize data analysis into reports and presentations that provide a coherent narrative about gaps and opportunities facing escalation teams, and explain analytic assessments that resulted from the analysis of raw data.


• Foster strong collaboration with technical and non-technical colleagues whose decisions will be informed by data analysis.


• Understand requirements facing each team, and inspire consistent and scalable solutions that fulfill those needs.


• Work closely with data operations analysts who are responsible for building our operational instrumentation.


• Work in partnership to communicate business requirements and understand options for infrastructure solutions to those requirements.


• Identify data and tooling requirements in order to influence project prioritization and roadmaps.


• Provide data support for escalation teams in critical escalations, as needed.


• Develop long-term strategies to increase the organizations ability to efficiently and autonomously investigate escalations via self-service tooling and via coaching and mentoring that result in the up leveling of escalation domain specialists.

Minimum Qualifications

• Master's degree in Computer Science, Management Science, Engineering, Information Systems, Analytics, Mathematics, or related field and 36 months in the job offered or in a related occupation. Foreign degree equivalent accepted. Experience must include 36 months involving the following:


• 1. Relational database (SQL or PL *SQL)


• 2. Statistical analysis using SAS


• 3. Large scale data processing infrastructures using distributed systems including Hadoop, Hive, MapReduce, or MPI


• 4. Quantitative analysis techniques including clustering, regression, or pattern recognition


• 5. Quantitative analysis techniques including descriptive and inferential statistics


• 6. Communicating and presenting results of data analyses.