Senior Applied Scientist

Datadog

Hybrid

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Work type
Hybrid
Location
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Posted
30 days ago

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How this pay compares to similar roles

Similar $177k
$130k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $145,200–$208,850.

Based on 240 similar postings.

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About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 131 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 66 roles with salary data.

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At a glance

TL;DR · Senior Applied Scientist

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As an Applied Scientist at the Applied AI team within Datadog, you will design and develop algorithmically driven features for machine learning-powered applications. Your day-to-day responsibilities include researching and implementing scalable solutions for anomaly detection and error analysis, leveraging statistical techniques to build new product features, and deploying these models to production while continuously monitoring their performance. You will collaborate closely with engineering and product teams to deliver impactful features that address real-world business problems. The ideal candidate has a strong background in Computer Science or Machine Learning, experience with high-scale systems and datasets, and the ability to communicate complex ideas effectively to non-technical stakeholders. Proficiency in Python and familiarity with cloud-based infrastructure are essential for this role, which involves working on cutting-edge machine learning applications at scale within a fast-paced product development environment.

Skills

Python Java Scala R TensorFlow PyTorch Scikit-learn Spark MLOps Kafka Docker Kubernetes AWS GCP CI/CD Git Jupyter PostgreSQL MongoDB

What you'll do

  • Design solutions for various use cases by researching and benchmarking relevant algorithms.
  • Build new scalable product features using machine learning algorithms and statistical techniques.
  • Deploy and monitor models, services, and infrastructure in production environments.
  • Participate in journal club to present the latest academic research papers to the team.
  • Analyze high volumes of data flowing through Datadog systems to uncover insights.

What we're looking for

  • BS/MS/PhD in Computer Science, Engineering, Machine Learning or related field
  • Experience building models for real business problems and writing production data pipelines
  • Ability to explain complex ideas and algorithms to non-technical audiences
  • Expertise in machine learning algorithms and statistical techniques for scalable features
  • Skilled in developing, deploying, and monitoring machine learning models in production
  • Familiarity with high-scale systems and datasets
  • Participation in journal clubs by presenting academic research papers

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