Senior Applied Scientist

About the role

Datadog's Applied AI team designs and builds algorithmically driven features in the Datadog app, mainly focused on analysis of streaming data such as anomaly detection, error outliers and faulty deployment analysis. As a Senior Applied Scientist you will build models and algorithms for machine learning-powered features on the Datadog platform, working closely with engineering and product partners to explore, build, scale and deliver these features.

Key responsibilities

• Research and benchmark algorithms to find the best fit for each use case
• Build new scalable product features using machine learning algorithms and statistical techniques
• Develop, deploy and monitor new and existing features to production
• Take part in the team's journal club by reading and presenting recent academic research papers
• Analyse large volumes of data flowing through Datadog systems and tell their story
• Maintain and monitor the models, services and infrastructure owned by your team
• Take part in the team's on-call rotation

Required profile

• BS/MS/PhD in Computer Science, Engineering, Machine Learning or a related scientific field, or equivalent experience
• Experience with high-scale systems and datasets, including building models, applying machine learning to real business problems and writing production data pipelines
• Able to explain complex ideas and algorithms to non-technical audiences
• Cares about code simplicity and performance, and is excited to work on a user-facing product

What we offer

• Competitive global benefits
• New hire stock equity (RSUs) and an employee stock purchase plan (ESPP)
• Collaboration with colleagues in the New York City and Paris offices
• Opportunities to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program
• Inclusive company culture and access to employee resource groups