Senior Applied Scientist

Datadog; Paris; On-site; EUR 60,000 - 85,000; Full time

Benefits offered by this job

Competitive global benefits

Stock equity (RSUs)

Employee stock purchase plan (ESPP)

Opportunity to attend conferences

Intra-departmental mentor program

Inclusive company culture

Job summary

Datadog is looking for an Applied Scientist to join their Applied AI team in Paris. You will design and build ML-driven features for the Datadog app, leveraging statistical techniques and algorithms across various applications, particularly in anomaly detection and data analysis. Collaborate closely with engineering and product teams to develop scalable solutions and contribute to the AI community.

Ideal candidates will have a BS/MS/PhD in a relevant scientific field, experience with high-scale systems, and a passion for user-facing products. Datadog values an inclusive culture and offers competitive global benefits.

Qualifications

• Experience with machine learning algorithms and statistical techniques.
• Ability to explain complex ideas to non-technical audiences.
• Experience in building and deploying models.

Responsibilities

• Design solutions for different use cases and research algorithms.
• Leverage ML algorithms to build new scalable product features.
• Develop, deploy, and monitor features in production.

Skills

Machine Learning

Data Analysis

Statistical Techniques

Python

Communication

Education

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

Tools

High-scale systems

Data Pipelines

Job description

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team.

What You’ll Do

• Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases
• Leverage machine learning algorithms and statistical techniques to build new scalable product features
• Develop, deploy and monitor new and existing features to production
• Participate in our journal club by reading and presenting the latest academic research papers to the team
• Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems
• Maintain and monitor the models, services and infrastructure owned by your team
• Participate in your team’s on‑call rotation

Who You Are

• You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience
• You have experience working with high‑scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines
• You can explain complex ideas and algorithms to non‑technical audiences
• You care about code simplicity and performance
• You are excited to work on a user‑facing product

Benefits and Growth

• Competitive global benefits
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra‑departmental mentor and buddy program for in‑house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Equal Opportunity at Datadog

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.