Senior Applied Scientist

Overview In this role you design and build ML-powered features for the Datadog platform, focusing on analysis of streaming data such as anomaly detection and deployment insights. You collaborate with engineering and product partners to explore, scale, and deliver features that live inside the Applied AI team. You deploy, monitor, and maintain models and systems, while engaging with research discussions and data storytelling to inform product decisions. This is a chance to shape AI-powered observability at scale in a hybrid work environment. Compensation / Benefits Competitive global benefits New hire stock equity (RSUs) and ESPPOpportunities to attend conferences and meetups Intra-departmental mentor and buddy program Inclusive company culture Healthcare and dental benefits Responsibilities Design solutions for diverse use cases and benchmark algorithms to fit them Leverage ML and statistics to create scalable product features Develop, deploy, and monitor features in production Participate in journal club to discuss latest research Analyze large volumes of data and tell the data story behind it Maintain and monitor models, services, and infrastructure Participate in on-call rotation Key requirementsBS/MS/PhD or equivalent experience in CS, Engineering, ML or related field Experience with high-scale systems and datasets Proven ability to translate complex ideas to non-technical audiences Commitment to code simplicity and performance Interest in building user-facing productsability to explain complex ideas to non-technical audiencesfocus on code simplicity and performanceenthusiasm for user-facing productsmachine learning and statistical techniquesproduction data pipelinesworking with high-scale systems