Data Scientist – PhD (CIFRE)

Job title:

Data Scientist – PhD (CIFRE)

Company:

Datadog

Job description

Datadog’s mission is to provide cloud-scale monitoring and security for metrics, traces and logs in one unified platform. As technology evolves, so do we. Research and development of new approaches is key for us to continue growing and explore new paths.Cultivating a strong collaboration with academic institutions is a priority for Datadog. To do so, the Datadog fellowship program supports PhD candidates throughout their studies and connects them to real life data and mentorship from industry professionals.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

• Use Datadog’s proprietary data to conduct research as part of your PhD thesis
• Participate and contribute to knowledge sharing session with Datadog’s employees
• Publish articles throughout your studies in collaboration with Datadog

Research Area of Focus * Natural Language ProcessingNatural language processing research at Datadog focuses on algorithms at scale and across products. These algorithms are used multiple ways across our product and benefit our user experience through search, investigation tools and conversational bots and more. We are particularly interested in algorithms around query expansion and translation, semantic tasks, generative tasks and retrieval tasks.

• Autonomous decision making agents

Datadog is here to support and help its customers to reduce the time it takes to resolve incidents and outages. The creation of automated agents with the ability to reason and plan as a human being is key to continue our mission. We focus on algorithms that learn from existing examples but will also find new ways of solving problems when given more context.

• AI systems and infrastructure

This field is focused on how to leverage hardware such as GPUs, distributed computing, etc… to train and deploy large models in production with low latency and high concurrency.

• Time series & Anomaly detection

Anomaly detection and time series are the core of Datadog. With hundreds of metrics and petabytes of data coming to Datadog every day, we focus on leveraging state of the art forecasting models, anomaly detection algorithms and outlier detection to alert our customers through monitors, proactive alerts and custom features.

• Large Language Model & wider applications

Large Language Models are opening new doors when it comes to NLP tasks but we want to focus on how their generative power can extend to other machine learning fields such as time series, causal inference, anomaly detection and much more.

• Causal inference

Understanding correlation and causation is key to performing troubleshooting and investigation. We are looking to leverage state of the art causal inference models to make our user experience easier and resolve their problems faster.

Who you are

• You have a Master degree with a focus on research/Data Science/AI
• Your PhD thesis aligned with at least one of the research areas of focus.
• You have experience in one or more the research area of focus
• You are planning to do a CIFRE thesis
• You are passionate about research and AI
• You possess the ability to elaborate complex models and ideas to non-technical personnel

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.Benefits and Growth:

• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) and monthly company social events
• Relocation support and travel benefits
• Unlimited snacks and drinks in our office; catered lunches on Monday, Wednesday, and Friday
• Beautiful offices in convenient locations with amazing views
• Free, global mental health benefits for employees and dependents age 6+

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Please ensure that you submit your CV/resume in English.About Datadog:Datadog (NASDAQ: DDOG) 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. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on , andEqual Opportunity at Datadog:Datadog is an and and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our for your reference.Your Privacy:Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s .= 992) { this.desktop = true; } else { this.desktop = false; } } }” x-init=”reactOnResize()” @resize.window.throttle.200ms=”reactOnResize()” class=”tw-bg-black”>

Expected salary

Location

Paris

Job date

Tue, 30 Jul 2024 23:31:02 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.