Senior Applied Scientist

Datadog; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading global SaaS company in Paris is seeking an Applied Scientist to design and build machine learning models for their platform. The role requires experience in high-scale systems and the ability to communicate complex concepts effectively. Ideal candidates will have a relevant degree and a passion for data-driven solutions. This role offers competitive benefits, including stock equity and collaboration opportunities.

Prestations

New hire stock equity (RSUs)

Employee stock purchase plan (ESPP)

Opportunity to attend conferences

Qualifications

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

Responsabilités

• Design solutions for varying use cases.
• Leverage machine learning algorithms for product features.
• Develop and monitor features in production.

Connaissances

Machine learning algorithms

Statistical techniques

Data analysis

Formation

BS/MS/PhD in Computer Science or related fields

Description du poste

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:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices
• 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)

Datadog is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks.

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.