Senior Applied Scientist - ML for Production Features

Datadog

Paris

Hybrid

EUR 60,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Competitive global benefits
New hire stock equity (RSUs)
Employee stock purchase plan (ESPP)
Opportunity to collaborate with colleagues
Opportunities to attend conferences and meetups
Inclusive company culture
Intra-departmental mentor and buddy program

Job summary

Datadog is seeking an Applied Scientist to design and build machine learning powered features within the Datadog platform. In this role, you will collaborate with engineering and product partners to deliver scalable solutions, analyze data streams, and contribute to journal discussions on the latest research.

We value a hybrid workplace that promotes work-life harmony and offers competitive benefits, stock equity, and opportunities for professional growth across our offices in New York City and Paris.

Qualifications

  • Experience with high-scale systems and datasets.
  • Ability to explain complex algorithms to non-technical audiences.
  • Care for code simplicity and performance.

Responsibilities

  • Design solutions for different use cases.
  • Leverage machine learning algorithms to build new features.
  • Develop and monitor features to production.
  • Participate in journal club discussing academic research.
  • Analyze high volumes of data flowing through Datadog.

Skills

Machine learning
Statistical techniques
Data analysis
Communication
High-scale systems
Production data pipelines

Education

BS/MS/PhD in Computer Science, Engineering, Machine Learning or related field

Job description

Datadog is seeking an Applied Scientist to design and build machine learning powered features within the Datadog platform. In this role, you will collaborate with engineering and product partners to deliver scalable solutions, analyze data streams, and contribute to journal discussions on the latest research.

We value a hybrid workplace that promotes work-life harmony and offers competitive benefits, stock equity, and opportunities for professional growth across our offices in New York City and Paris.

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