Top Data & Analytics Jobs
As an Observability Analyst at WHOOP, you'll ensure the reliability and performance of data infrastructure. Responsibilities include developing monitoring and alerting solutions, performing root cause analysis, collaborating with teams, and implementing measures to ensure data quality and integrity. You will also stay current with industry trends to enhance data engineering processes.
Lead and elevate the Analytics Engineering team at WHOOP, responsible for owning the Analytics data platform and driving major data initiatives. Collaborate with technical and non-technical teams to ensure data models are accurate and meet business needs. Mentor team members, enhance the data strategy, and manage large-scale data projects.
The Senior Human Factors Researcher at WHOOP will lead human factors testing, collaborating with teams to design and execute studies that ensure the safety of new features and devices. Responsibilities include coaching researchers, managing remote studies, supporting IRB submissions, and consulting across departments to leverage research tools.
As a Clinical Research Scientist, you will design and conduct clinical studies, oversee data analysis, and interpret complex datasets. Your responsibilities will include creating trial protocols, ensuring data integrity through statistical analysis, literature reviews, and contributing to publications and presentations to support clinical development goals.
The Senior Business Analyst will analyze customer purchasing behavior, identify trends for product development, maintain optimal inventory levels, generate reports, integrate third-party transaction data, perform data audits, and provide strategic insights to support decision-making in the Apparel + Accessories organization.
The Staff Data Science Tech Lead will develop and implement machine learning algorithms using large-scale models to analyze WHOOP data for health and fitness insights. Responsibilities include mentoring junior scientists, collaborating with clinical teams, and maintaining production services in partnership with MLOps engineers.
Manage a team of data scientists and research scientists, focusing on program management, resource allocation, and team development. Oversee execution of data science projects while optimizing team efficiency and fostering a collaborative culture. Communicate project status and manage dependencies across initiatives to ensure success and alignment with business objectives.
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