# Senior Applied Scientist

**Company:** [Datadog](https://hotfix.jobs/companies/datadog)
**Location:** New York, NY
**Role:** Data Science
**Salary:** $220k – $275k/yr
**Experience:** 5+ years
**Skills:** Machine Learning, Statistical Techniques, Anomaly Detection, Streaming Data, Data Pipelines, High-Scale Systems, Model Deployment, Model Monitoring, Python, Algorithms
**Posted:** 2026-09-10

> Senior Applied Scientist develops and productionizes machine-learning models and algorithmic features for high-volume streaming data in Datadog’s user-facing platform. The role requires experience with high-scale datasets, production data pipelines, statistical methods, and communicating technical concepts effectively.

## Job Description

## Responsibilities
- Design solutions for use cases by researching and benchmarking relevant algorithms.
- Apply machine learning algorithms and statistical techniques to build scalable product features.
- Develop, deploy, and monitor machine-learning features in production.
- Analyze high-volume streaming data and communicate insights behind it.
- Maintain and monitor team-owned models, services, and infrastructure.
- Participate in journal club activities, including reading and presenting academic research.
- Participate in the team’s on-call rotation.

## Requirements
- BS, MS, PhD, or equivalent experience in Computer Science, Engineering, Machine Learning, or a related scientific field.
- Experience with high-scale systems and datasets, including building models, applying machine learning to real-world business problems, and writing production data pipelines.
- Ability to explain complex ideas and algorithms to non-technical audiences.
- Strong focus on code simplicity and performance.
- Interest in building user-facing products.

## Compensation and Benefits
- Annual salary: **$220,000–$275,000 USD**.
- Equity package including new-hire RSUs and an employee stock purchase plan.
- Comprehensive benefits may include healthcare, dental, parental planning, mental health benefits, 401(k) matching, paid time off, fitness reimbursements, and employee stock purchase plan discounts.
- Opportunities to collaborate across Datadog offices, attend conferences and meetups, and participate in mentorship and employee resource programs.

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