Description
Datadog is hiring an Applied Scientist to design, build, deploy, and monitor machine-learning-powered features for its Datadog platform, particularly for streaming-data use cases such as anomaly detection, error outlier analysis, and faulty deployment analysis. The role involves researching algorithms, developing production data pipelines, analyzing large-scale data, maintaining models and infrastructure, participating in on-call rotation, and collaborating with engineering and product teams. Candidates should have a degree in computer science, engineering, machine learning, or a related scientific field, or equivalent experience, along with experience with high-scale systems, datasets, production pipelines, and machine learning. The role is hybrid and offers a yearly salary of $220,000–$275,000 USD plus equity and benefits.
