Senior Applied Scientist

DataDog
New York
Workplace: HybridFull timeUSD 220,000 - 275,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Communication","Research","Collaboration","Problem-solving","Performance focus"]

Design and deliver applied AI features for the Datadog app, focusing on streaming-data use cases like anomaly detection, error outliers, and faulty deployment analysis. Build scalable ML models and statistical techniques, then develop, deploy, monitor, and maintain production features and the underlying models/services. Partner with engineering and product teams, explore data patterns, present research in journal club, and join the team on-call rotation.

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DataDog
DataDog
1 day ago

Senior Applied Scientist

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Last checked: 6 hours agoStatus: Live

Job Summary

Design and deliver applied AI features for the Datadog app, focusing on streaming-data use cases like anomaly detection, error outliers, and faulty deployment analysis. Build scalable ML models and statistical techniques, then develop, deploy, monitor, and maintain production features and the underlying models/services. Partner with engineering and product teams, explore data patterns, present research in journal club, and join the team on-call rotation.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Research and benchmark algorithms to match models to Datadog use cases.
  • •Leverage machine learning algorithms and statistical techniques to build scalable product features.
  • •Develop, deploy, monitor, and maintain new and existing features in production.
  • •Maintain and monitor the models, services, and infrastructure owned by the team.
  • •Participate in journal club and the team’s on-call rotation while exploring and communicating insights from high volumes of data.

Pay and Benefits

Salary: USD 220,000 - 275,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalParental Leave401kPaid LeaveGym MembershipEspp

Key Requirements

  • •Have a BS/MS/PhD in Computer Science, Engineering, Machine Learning, or a related field (or equivalent experience).
  • •Experience building models and applying machine learning to real business problems using high-scale systems and datasets.
  • •Experience with writing production data pipelines and working with large volumes of data.
  • •Ability to explain complex ideas and algorithms to non-technical audiences.
  • •Care about code simplicity and performance and are excited to work on a user-facing product.
Experience:Streaming dataMachine learningProduction data pipelines
Education:
Skills:CommunicationResearchCollaborationProblem-solvingPerformance focus
Languages:English
Tech Stack:Machine learningStatistical techniquesProduction data pipelines

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
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