Head of Data Science
il y a 4 semaines
At Equativ, we're driven by a mission to revolutionize advertising technologies that empower our customers to achieve their digital business objectives. To accomplish this, we rely on scalable, distributed, highly available, and efficient software systems that handle massive traffic. Our innovation team, based in multiple locations, is composed of talented engineers working in an Agile environment, tackling complex technical challenges.
Your MissionWithin the R&D team, we develop a global advertising platform that delivers billions of ads daily using real-time bidding. This pipeline heavily relies on machine learning models that optimize costs, revenues, and ad targeting. Our data science teams, based in Paris, design and train deep-learning algorithms to make our products smarter. We use Google Cloud Platform, Google Dataflow, Cloud Run, and Tensorflow to train and serve our models. Our neural networks generate 300k predictions per second, each processed in under 2 ms. We work on various machine learning problems, including classification, regression, time series, NLP, recommendation, and reinforcement learning.
What You'll Do- Drive and grow our Data Science and ML engineering teams, focusing on large-scale optimization challenges.
- Recruit new talents and design a high-performance, robust, scalable, and flexible architecture for training models and running them in production.
- Identify data science needs and design systems, especially when launching new projects.
- Work closely with other engineering teams to refine and develop cutting-edge infrastructure and distributed machine learning services.
- Stay up-to-date with emerging technology best practices and champion them within the organization.
- Contribute to promoting a strong engineering culture and passion for quality and excellence.
- Product-focused mindset: use the most appropriate ML/DS toolset to solve customer challenges.
- Master's degree in a technical field (Engineering, Computer Science, Applied Math).
- Solid background in building high-performance and responsive data science frameworks.
- Passion for data ecosystems and experience in shipping large-scale projects with multiple dependencies across teams.
- Experience in managing a team of Machine Learning Engineers and Data Scientists.
- Talent for clearly communicating complex concepts to non-technical audiences.
- Experience developing Python code in constraint/high-load environments.
- Familiarity with deep learning frameworks.
- Understanding of data structures and algorithm complexity.
- Proactive, self-directed, and organized.
- Fluent in English (and ideally also in French).
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