Data Scientist

Meta-posted 3 days ago
$241,303 - $279,400/Yr
Full-time • Mid Level
Seattle, WA
5,001-10,000 employees
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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. 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.

  • Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc.
  • Design and implement reporting dashboards that track key business metrics and provide actionable insights.
  • Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating results to cross-functional groups.
  • Work closely with Product or Engineering & Operations teams to proactively create rule and manage decisions.
  • Prioritize leads so that the teams work on the most valuable cases.
  • Suggest improvements in the tools and techniques to help scale the team.
  • Master's degree (or foreign equivalent degree) in Computer Science, Engineering, Mathematics, Applied Statistics, Analytics or a closely related field of study and 6 months in the job offered or in a related occupation
  • Requires 6 months of experience involving the following:
  • Machine learning techniques
  • Working with large data sets and network-based data (TCP or HTTP)
  • ETL (Extract, Transform, Load) processes
  • MATLAB
  • Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
  • Quantitative analysis techniques: clustering, regression, or pattern recognition and Micro services & Containers with Docker and Kubernetes
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