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Home›Jobs›Equativ›Senior Data Scientist - at Kamino Retail - Full-remote (France)
Equativ

About Equativ

Transforming ad monetization for publishers and buyers

🏢 Media👥 501-1000 employees📅 Founded 2001📍 Chaussée-d'Antin, Paris, France⭐ 4.5
B2BPublishingSaaSAdvertising

Key Highlights

  • Founded in 2022 from the merger of three companies
  • Headquartered in Chaussée-d'Antin, Paris, France
  • 501-1000 employees, focusing on B2B publishing and SaaS
  • Utilizes audio recognition for real-time ad personalization

Equativ is a leading ad monetization platform formed in 2022 from the merger of Smart AdServer, DynAdmic, and LiquidM. Headquartered in Chaussée-d'Antin, Paris, Equativ empowers both publishers and buyers to optimize their advertising investments across multiple channels, utilizing innovative audio ...

🎁 Benefits

Equativ offers a competitive benefits package including profit-sharing bonuses, flexible remote work options with an annual allowance of up to €240, a...

🌟 Culture

Equativ fosters a unique culture focused on transparency and collaboration, addressing the complexities of modern advertising through innovative techn...

🌐 Website💼 LinkedIn𝕏 TwitterAll 25 jobs →
Equativ

Senior Data Scientist - at Kamino Retail - Full-remote (France)

Equativ • Paris

Posted 21h ago🏠 RemoteSeniorData scientist📍 Paris
Apply Now →

Skills & Technologies

PythonKubernetesClickHouseDeep learning

Overview

Equativ is seeking a Senior Data Scientist to design deep-learning algorithms for their innovative retail media platform. You'll work with Python and Kubernetes to process vast amounts of data. This role requires expertise in machine learning and data processing.

Job Description

Who you are

You have a strong background in data science with a focus on machine learning and deep learning — your experience includes designing algorithms that enhance product intelligence and user engagement. You are proficient in Python and have hands-on experience with data processing frameworks, enabling you to handle large datasets effectively. Your familiarity with Kubernetes allows you to deploy and manage data products in a cloud environment, ensuring scalability and reliability. You thrive in collaborative settings, working closely with data engineers and other team members to build robust data solutions. You are passionate about leveraging data to drive business outcomes and are eager to innovate in the retail media space.

Desirable

Experience with ClickHouse is a plus, as it will help you optimize data storage and retrieval processes. Familiarity with cloud-based data solutions and a strong understanding of data mart architectures will further enhance your contributions to the team. You are open to exploring new technologies and methodologies that can improve data processing and algorithm performance.

What you'll do

As a Senior Data Scientist at Kamino Retail, you will be responsible for designing and implementing deep-learning algorithms that will enhance the capabilities of our retail media platform. You will work with a team of data professionals to process billions of logs daily, transforming raw data into actionable insights that drive advertising strategies. Your role will involve collaborating with data engineers to build the necessary tools and infrastructure for deploying machine learning models in a Kubernetes environment. You will also engage in continuous experimentation and iteration to refine algorithms based on performance metrics and user feedback. Your contributions will directly impact the effectiveness of our advertising solutions, helping retailers achieve better customer engagement and measurable results.

What we offer

We provide a fully remote work environment, allowing you to collaborate with a diverse team from anywhere in France. Our culture emphasizes innovation and collaboration, giving you the freedom to explore new ideas and approaches in data science. You will have the opportunity to work on cutting-edge projects that shape the future of retail media, making a significant impact on our clients' success. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team. Join us at Kamino Retail and be part of a pioneering journey in the retail media landscape.

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