Senior Observability Analyst

Posted 3.14.24
Boston, MA
At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers its members to take data-driven actions that enable performing at a higher level and to deeply understand their bodies and unique physiology.
Data is the lifeblood of WHOOP and our innovative ML platform is the game-changing connective tissue linking this vital resource to teams, applications, and insightful solutions that power real-time ML processes, cutting-edge science, and bold visionary decision-making. As a Senior Observability Analyst at WHOOP, you will play a crucial role in building the platform that ensures our member-facing physiological algorithms are working properly across a diverse and evolving memberbase and that key stakeholders have timely access to the data that supports that. 
  • Develop and deploy robust monitoring and observability tools to track offline and production ML model performance 
  • Enable internal stakeholders to evaluate data quality metrics, identify anomalies, and implement measures to address issues
  • Work closely with cross-functional teams to understand requirements and use cases; collaborate on designing solutions
  • Partner closely with cross-functional partners to support new algorithm roll outs and ensure in real time that real world performance matches anticipated performance 
  • Keep abreast of emerging technologies, best practices, and trends in data observability, and incorporate relevant innovations into our data engineering processes
  • Reports to the Director of ML Platform
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • Strong analytical and problem-solving skills, with the ability to interpret complex data sets and draw actionable insights
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams
  • Experience with data visualization tools such as Tableau, Looker, or similar
  • Excellent analytical and problem-solving skills with a keen attention to detail
  • Experience with AWS cloud platform
  • Knowledge of machine learning techniques and methodologies is a plus
  • Understanding of human physiology is a plus
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