Quantitative Researcher, Global Operations Analytics R&D

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Quantitative Researcher, Global Operations Analytics R&D
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Global Operations' goal is to build and run world-class processes at a global-scale that minimize harm to people and society while maximizing the success and well-being of our ecosystem of people, community, businesses and partners. The Analytics R&D team empowers Meta’s Global Operations organization to be self-sufficient in tactical decision-making and drive operations strategy through analytics research and development. Our key partners are embedded data teams and core functions on the business side within Global Operations, as well as Data Engineering, Data Science, Product, and Engineering partners outside of Global Operations. We are responsible for creating accurate, reliable and accessible measurements and methodologies as well as contextualizing them in operational performance with research and advanced analysis. We are looking for a Quantitative Researcher who shares our passion for helping make Meta a better place for people and businesses to connect across the world. The right candidate will be comfortable in a fast-moving organization, excited to collaborate and focused on positively impacting the experience of a large scale global workforce and the entire Meta Community. They possess strong quantitative analytical skills, statistical knowledge, data visualization skills, and the ability to build strong partnerships to drive impact across the organization.
Quantitative Researcher, Global Operations Analytics R&D Responsibilities
  • Apply quantitative skills and incorporate qualitative insights to inform and influence strategy for Global Operations
  • Perform analytics to measure effectiveness of Operations and drive improvements in Ecosystem via strategic partnerships and insights
  • Partner with Operations, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
  • Analyze data, conduct research and synthesize feedback into plans, processes and playbooks
  • Build/maintain data infrastructure (Python notebooks, data pipelines, aggregated data sets, reports, dashboards) to monitor the performance of our operations and drive business understanding
Minimum Qualifications
  • Masters degree with a quantitative focus in Computer/Data Science, Information Systems, Statistics, Physics, Math or equivalent training
  • 5+ years of experience performing data analysis and dealing with multiple stakeholders
  • Proficiency in querying and manipulating complex raw datasets for analysis using SQL, Python and/or R
  • Experience with data visualization tools (e.g., Tableau)
  • Experience with statistical analysis (e.g., hypothesis testing, probability, prevalence measurement, regressions, experimentation logic and biases, data modeling techniques, time series analysis)
  • Professional experience with reporting systems, data pipeline architecture, ETL and data modeling
  • Experience explaining technical concepts and analysis implications clearly to varied audiences and translate business objectives into actionable analyses
Preferred Qualifications
  • PhD degree with a quantitative focus (e.g. Computer/Data Science, Information Systems, Statistics, Physics, Math)
  • Experience thinking strategically, structurally solving operational problems, and driving execution
  • Experience developing data pipelines via SQL and Python-based ETL framework
  • Experience releasing code into production
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.
(Colorado only*) Estimated salary of $162,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)
Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.