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Senior Applied Scientist

Datadog· Engineering
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Hybrid (Paris, France)full-timePosted 6mo ago

About the role

Applied AI team designs and builds algorithmically driven features in the Datadog app, focusing on analysis on streaming data (e.g., anomaly detection, error outliers, faulty deployment analysis). Build models and algorithms for ML-powered features within the Datadog platform, collaborating with engineering and product partners to explore, build, scale and deliver these features.

Responsibilities

  • Design solutions for different use cases and benchmark relevant algorithms
  • Leverage machine learning algorithms and statistical techniques to build scalable product features
  • Develop, deploy and monitor new and existing features to production
  • Participate in journal club by reading and presenting latest academic research papers
  • Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems
  • Maintain and monitor the models, services and infrastructure owned by the team
  • Participate in the team’s on-call rotation

Qualifications

  • BS/MS/PhD in Computer Science, Engineering, Machine Learning or related field or equivalent experience
  • Experience with high-scale systems and datasets including building models, applying ML to real business problems, and writing production data pipelines
  • Ability to explain complex ideas and algorithms to non-technical audiences
  • Care for code simplicity and performance
  • Interest in working on a user-facing product

Skills

Required:Machine learningModel deployment and monitoringData analysis / storytellingCommunication

Benefits

  • Competitive global benefits
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Opportunity to collaborate with colleagues across Datadog offices in New York City and Paris
  • Opportunity to attend and present at conferences and meetups
  • Intra-departmental mentor and buddy program
  • Inclusive company culture and ability to join Community Guilds
Last updated Oct 22, 2026. Interested? Apply on the company site.

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