Data Scientist, Analytics - Facebook Reality Labs, XROS

Data Scientist, Analytics - Facebook Reality Labs, XROS
Facebook wordmarkFacebook wordmark
Location pin icon
Burlingame, CA
Facebook Reality Labs builds tools that help people feel connected anytime, anywhere. We envision a world where physical distance doesn't limit our ability to connect with one another and neither do our devices. We target product categories with high potential for sustaining human connection at population scale. Our strategy is to build products that gain enough market share to establish broad consumer expectations around communication, acceptability, and privacy for their entire category. We are looking for a seasoned Data Scientist to be a foundational member of a new team partnering with the several hundred engineers developing the operating systems that power new hardware devices like Quest, Quest 2, Portal, and future mobile devices. We operate in both the virtual reality, augmented reality, and mixed reality space. The ideal candidate has a background in both software and hardware, especially with regard to system resource constraints and metrics. We are looking for someone who can work end-to-end, identifying important work areas, working with engineers to instrument telemetry and logging, analytically solve problems, developing data pipelines, data visualizations, and other tools to transform complex data issues into digestible data insights, and converting data insights into shippable product features.
Data Scientist, Analytics - Facebook Reality Labs, XROS Responsibilities
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and distill a complex issue into actionable insights
  • Partner with Engineering teams to solve problems, identify opportunities, and build data infrastructure
  • Influence product roadmaps
  • Help improve engineering efficiency
  • Understand system resource constraints and budgets
  • Apply statistical techniques to evaluate A/B tests, debug regressions, and extrapolate findings from dogfooding data to the general population
  • Effectively communicate results and insights to the product team and company leadership
  • Work across many disciplines including data science, data engineering, software engineering, hardware engineering, and product management
Minimum Qualifications
  • PhD, MS or BS degree in a quantitative discipline (e.g., statistics, operations research, applied mathematics, physics, electrical engineering) or equivalent experience
  • 5+ years experience doing quantitative analysis, statistical modeling, software or hardware engineering
  • Analytical skills and knowledge of statistical methods
  • Experience influencing product strategy through data-centric presentations (to product, business, and other stakeholders)
  • Experience extracting and manipulating large datasets
  • Proven experience influencing cross-functional partners and work across teams
  • Proven experience in experimentation including A/B testing
  • Experience in SQL, Python, R, and other languages
Preferred Qualifications
  • Experience understanding the tradeoffs between hardware constrained resources such as compute and battery life, model memory footprint and model accuracy, frame rate and thermal load, etc.
  • Basic knowledge of operating systems for mobile devices
About the Facebook company
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
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
Related Job Openings
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
Let us know you're interested
Share your resume or LinkedIn profile with our recruiting team and create personalized job alerts.