Senior Applied Scientist
Builds and deploys machine-learning models and statistical algorithms for scalable, user-facing observability features based on streaming data. The role requires experience with high-scale datasets, production pipelines, and communicating technical concepts clearly.
About the job
Responsibilities
- Design solutions for varied use cases by researching and benchmarking relevant algorithms.
- Apply machine learning algorithms and statistical techniques to build scalable product features.
- Develop, deploy, and monitor features in production.
- Participate in journal club by reading and presenting current academic research papers.
- Explore, analyze, and communicate insights from high-volume data flowing through Datadog systems.
- Maintain and monitor team-owned models, services, and infrastructure.
- Participate in the team’s on-call rotation.
Requirements
- BS, MS, or PhD in Computer Science, Engineering, Machine Learning, or a related scientific field, or equivalent experience.
- Experience with high-scale systems and datasets, including building models, applying machine learning to 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.
Benefits
- Competitive global benefits.
- New-hire stock equity (RSUs) and employee stock purchase plan (ESPP).
- Collaboration with colleagues across Datadog offices in New York City and Paris.
- Opportunities to attend and present at conferences and meetups.
- Intra-departmental mentor and buddy program.
- Inclusive company culture and access to Community Guilds (employee resource groups).
Skills
Machine Learning, Statistical Modeling, Anomaly Detection, Data Pipelines, Production Systems, Python, Algorithms, Data Analysis
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