Senior Software Engineer, AI and Data Technology
Omada HealthSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & AnalyticsIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Engineering, or a related field, along with strong analytical and problem-solving skills to interpret complex datasets and derive actionable insights. Experience with physiological data is preferred, and familiarity with data visualization tools such as Sigma or HEX is required, alongside proven experience in writing SQL and experience with the AWS cloud platform. Knowledge of machine learning techniques and methodologies is a plus.
Responsibilities
As a Senior Observability Analyst at WHOOP, you will develop and deploy robust monitoring and observability tools to track offline and production ML model performance, enabling internal stakeholders to evaluate data quality metrics and implement corrective measures. You will collaborate with cross-functional teams to understand requirements and use cases, contribute to solution design, and partner closely with teams to support new algorithm rollouts, ensuring real-time performance aligns with expectations. Additionally, you will stay informed on emerging technologies and incorporate relevant innovations into data engineering processes, and leverage AI tools such as Copilot and ChatGPT to drive efficiency and innovation in data quality monitoring.
Skills
Monitoring
Observability
ML
Data Quality
Data Engineering
AI
Copilot
ChatGPT
Problem-Solving
Analytical Skills
Algorithm Rollouts
Whoop
Wearable fitness tracker with personalized insights
About Whoop
WHOOP offers a fitness membership that focuses on improving personal health and performance through a wearable device called the WHOOP Strap 3.0. This device continuously collects physiological data, including heart rate, sleep patterns, and recovery levels, to provide users with personalized recommendations on their daily activity, sleep needs, and readiness for performance. Unlike many competitors, WHOOP operates on a subscription model, where users pay a fee to access the membership, which includes the device and continuous insights through the WHOOP app. This model not only provides a steady revenue stream but also fosters a strong community among users, encouraging engagement through teams, challenges, and social features. The goal of WHOOP is to help users optimize their health and performance while minimizing injury risk.
Key Metrics
Boston, MassachusettsHeadquarters
2012Year Founded
$393.7MTotal Funding
SERIES_FCompany Stage
Data & Analytics, HealthcareIndustries
501-1,000Employees