Senior Applied Scientist

Datadog; Paris; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Competitive global benefits

New hire stock equity (RSUs)

Employee stock purchase plan (ESPP)

Opportunity to collaborate with colleagues

Opportunities to attend conferences and meetups

Inclusive company culture

Intra-departmental mentor and buddy program

Job summary

Datadog is seeking an Applied Scientist to design and build machine learning powered features within the Datadog platform. In this role, you will collaborate with engineering and product partners to deliver scalable solutions, analyze data streams, and contribute to journal discussions on the latest research.

We value a hybrid workplace that promotes work-life harmony and offers competitive benefits, stock equity, and opportunities for professional growth across our offices in New York City and Paris.

Qualifications

• Experience with high-scale systems and datasets.
• Ability to explain complex algorithms to non-technical audiences.
• Care for code simplicity and performance.

Responsibilities

• Design solutions for different use cases.
• Leverage machine learning algorithms to build new features.
• Develop and monitor features to production.
• Participate in journal club discussing academic research.
• Analyze high volumes of data flowing through Datadog.

Skills

Machine learning

Statistical techniques

Data analysis

Communication

High-scale systems

Production data pipelines

Education

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

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.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

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)

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.