About the position
At WHOOP, we are on a mission to unlock human performance. WHOOP empowers its members to take data-driven actions that enhance their ability to perform at a higher level while gaining a deep understanding of their bodies and unique physiology. Data is the lifeblood of WHOOP, and our innovative ML platform serves as the game-changing connective tissue that links this vital resource to teams, applications, and insightful solutions. This platform powers 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 developing and maintaining the platform that ensures our member-facing physiological algorithms function correctly across a diverse and evolving member base. Additionally, you will ensure that key stakeholders have timely access to the data that supports these efforts.
Responsibilities
- 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 corrective measures.
- Collaborate with cross-functional teams to understand requirements and use cases, contributing to solution design.
- Partner closely with cross-functional teams to support new algorithm rollouts, ensuring real-world performance aligns with expectations in real time.
- Stay informed on emerging technologies, best practices, and trends in data observability, incorporating relevant innovations into our data engineering processes.
- Leverage AI tools such as Copilot, ChatGPT, and others to drive efficiency, automate workflows, and foster innovation in observability and data quality monitoring.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong analytical and problem-solving skills, with the ability to interpret complex datasets and derive actionable insights.
- Experience with physiological data preferred.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.
- Experience with data visualization tools such as Sigma, HEX, or similar.
- Proven experience writing SQL, SNOWFLAKE preferred.
- Experience with AWS cloud platform.
- Keen attention to detail and a structured approach to problem-solving.
- Knowledge of machine learning techniques and methodologies is a plus.
