Full-Time

Staff Data Scientist

Data Science

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software
Cybersecurity

Compensation Overview

$234k - $300kAnnually

Senior, Expert

New York, NY, USA

Hybrid workplace; requires in-office presence.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Apache Spark
Scala
Natural Language Processing (NLP)
Computer Vision
Requirements
  • 8+ years of industry experience (data scientist, ML engineer, tech lead…) and a Master’s degree or PhD in relevant fields
  • Strong track records of designing, prototyping, scaling and launching data science products to solve business problems.
  • Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains (eg. anomaly detection, natural language processing, computer vision, personalization and recommendation)
  • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts to leverage their expertise into your solution
  • Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
  • Fundamental understandings of the data engineering practice around creation of data pipelines, processing data and storing data using technologies such as spark
  • Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels.
Responsibilities
  • Identify high impact business opportunities through data exploration, model prototypes and bootstrapping projects.
  • Hands-on development, productionisation, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data.
  • Collaborate closely with data scientists and engineers to develop the next generation of Datadog’s features.
  • Mentor and guide data scientists in the organization by promoting best practices, strong technical decisions, coding standards and thorough documentation.
  • Regularly present work internally (data science demo, internal talks,...) to technical, engineering and product stakeholders to iterate and generate excitement.
  • Engage with the data science and engineering community to advance Datadog’s standing.

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations across various industries, such as finance, healthcare, and technology, to ensure their IT systems run smoothly. Datadog's products include application performance monitoring, security monitoring, network monitoring, and log management, among others. These tools work by collecting data from different parts of an organization's IT environment, allowing users to analyze performance, detect issues, and optimize operations in real-time. Unlike many competitors, Datadog offers a wide range of features that cater to specific needs like cloud migration and IoT monitoring, all under a subscription-based model. Their goal is to help businesses maintain efficient and secure IT operations, regardless of their size.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

10%

1 year growth

47%

2 year growth

54%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for cloud-native solutions boosts Datadog's core offerings.
  • Rising adoption of Kubernetes enhances Datadog's Kubernetes Active Remediation feature.
  • Increased focus on real-time BI drives demand for Datadog's analytics tools.

What critics are saying

  • Increased competition could erode Datadog's market share in cloud monitoring.
  • Over-reliance on major cloud providers poses a risk if they develop competing products.
  • Economic downturns may lead to reduced spending on IT infrastructure monitoring services.

What makes Datadog unique

  • Datadog offers a comprehensive suite for cloud-scale monitoring and security analytics.
  • The platform supports diverse industries, from finance to gaming, with tailored solutions.
  • Datadog's subscription model provides scalable pricing for businesses of all sizes.

Help us improve and share your feedback! Did you find this helpful?