Senior Applied Scientist

DataDog
Paris
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Skills: ["Communication","Problem-solving","Presentation"]

Applied Scientist on the Applied AI team builds ML-powered features for the Datadog platform, researching and deploying scalable models across high-scale data. You'll design solutions for various use cases, benchmark algorithms, deploy in production, and collaborate with engineering and product partners to deliver impactful, user-facing features. Expect on-call rotation and data storytelling across large Datadog systems.

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DataDog
DataDog
1 year ago

Senior Applied Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Applied Scientist on the Applied AI team builds ML-powered features for the Datadog platform, researching and deploying scalable models across high-scale data. You'll design solutions for various use cases, benchmark algorithms, deploy in production, and collaborate with engineering and product partners to deliver impactful, user-facing features. Expect on-call rotation and data storytelling across large Datadog systems.
Location: Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design solutions for our different use cases and benchmark relevant algorithms to find the best fit.
  • •Leverage machine learning algorithms and statistical techniques to build new scalable product features.
  • •Develop, deploy and monitor new and existing features to production.
  • •Participate in our journal club by reading and presenting the latest academic research papers to the team.
  • •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 your team; participate in on-call rotation.

Pay and Benefits

Perks:Equity

Key Requirements

  • •BS/MS/PhD in Computer Science, Engineering, Machine Learning or 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.
  • •Ability to explain complex ideas and algorithms to non-technical audiences.
  • •Care about code simplicity and performance.
  • •Excited to work on a user-facing product.
Experience:SaaSData ScienceCloud monitoring
Education:
Skills:CommunicationProblem-solvingPresentation
Languages:English

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn