Senior Applied Scientist

<p>The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as <a href="https://www.datadoghq.com/blog/watchdog/">anomaly detection</a>, <a href="https://docs.datadoghq.com/logs/explorer/watchdog_insights/">error outliers</a> and <a href="https://www.datadoghq.com/blog/faulty-deployment-detection/">faulty deployment analysis</a>.  As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team.</p> <p> </p> <p><em>At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.</em></p> <p> </p> <p data-renderer-start-pos="592"><strong data-renderer-mark="true">What You’ll Do: </strong></p> <ul> <li>Design solutions for our different use cases. You will research and benchmark relevant   algorithms to find the best fit for our use-cases</li> <li>Leverage machine learning algorithms and statistical techniques to build new scalable product features</li> <li>Develop, deploy and monitor new and existing features to production</li> <li>Participate in our journal club by reading and presenting the latest academic research papers to the team</li> <li>Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems </li> <li>Maintain and monitor the models, services and infrastructure owned by your team</li> <li>Participate in your team’s on-call rotation</li> </ul> <p> </p> <p data-renderer-start-pos="1335"><strong data-renderer-mark="true">Who You Are: </strong></p> <ul> <li>You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience</li> <li>You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines</li> <li>You can explain complex ideas and algorithms to non-technical audiences</li> <li>You care about code simplicity and performance</li> <li>You are excited to work on a user-facing product</li> </ul> <p data-rend