Data Scientist [Kamino Retail]

Posted 12 Days Ago
Be an Early Applicant
Paris, Île-de-France
Hybrid
Entry level
AdTech • Marketing Tech
Fulfilling the Promise of AdTech
The Role
As a Data Scientist, you will develop deep-learning algorithms to enhance Kamino Retail's products. You will analyze business problems to create machine learning solutions, implement training pipelines, and ensure model deployment while working closely with a data engineer.
Summary Generated by Built In

Kamino Retail (powered by Equativ) stands at the forefront of retail media innovation as a pioneering SAAS platform. We equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results. Join us in shaping the future of retail media through innovation, collaboration, and strategic prowess. 


Your mission 👇


You will join the newly formed data team based in Paris and be responsible for designing the first deep-learning algorithms that will make our products smarter. Our platform processes billions of logs a day and feeds a data mart that spreads its usage across all our teams.We deploy our data products on a Kubernetes cluster that orchestrates Python jobs alongside a ClickHouse cluster.


You will have the chance to work from the ground up, be free of assumptions and legacy components, in a fast paced and open environment in which you will have a great impact. You will work alongside a data engineer committed to build the required tools and solutions that will enable our algorithms.

What you'll do ✏️

  • Lay down the first ML and statistical components of the data science platform
  • Translate business problems and feature needs to machine learning problems
  • Have a strong impact on model implementation as well as their deployment
  • Implement always-on training pipelines
  • Deploy and monitor models and implement ML good practices

About you 💪

  • First experience in Data Science (including internships)
  • French and English are required for this position
  • Minimum qualifications

  • Product-focused mindset: deliver real deep learning to solve our customers problems
  • Familiarity with deep learning frameworks
  • Knowledge developing performant Python code
  • Understanding of data structures and algorithm complexity
  • Preferred qualifications

  • Professional experience building models with PyTorch
  • Previous experience in applying machine learning to solve business problems or personal projects demonstrating your self-learning skills
  • Experience in deploying models on Kubernetes

Why Choose Us? If you are a technical professional with a passion for retail media and a desire to play a pivotal role in implementing cutting-edge solutions, we invite you to apply and join our innovative team at Kamino Retail. Shape the future of retail media with us!

Top Skills

Python
The Company
HQ: Paris
550 Employees
Hybrid Workplace
Year Founded: 2001

What We Do

As a leading independent ad tech platform, we provide brand and privacy-safe solutions that empower our clients to achieve maximum results. We offer the market an independent ad server, SSP, buyer tools, media services, and more.



This combination of engineering excellence and client expertise helps us serve the interests of both the supply-side and the demand-side with equal professionalism and technical sophistication. 



And, as we work toward fulfilling on the promise of advertising technology, we also keep the consumer and their rights in mind in all we do

Our objective? Disrupt the digital advertising industry through high-performance solutions, innovative formats, and exceptional quality.

Our pride? A global and diverse team that flourishes through a corporate culture advocating ownership and who live through three essential values: Be brave, Be thoughtful, Be together.

Why Work With Us

Accelerate your career. Our global training events, online training courses, and fantastic people leaders offer unlimited opportunities to develop and grow your career.
Take a break. When you work hard we know you also need to rest. We offer generous time off and parental leave policies, as well as mental health and wellness activities.

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