Responsibilities
- Analyze and prepare data, prototype algorithms
- Put them into production in collaboration with Data Engineers and development teams
- Create dashboards to illustrate the relevance of algorithms and monitor production
- Present results at weekly data science meetings and participate in team brainstorming sessions
- Liaise with other teams to refine use cases, user experience, and integration methods
Requirements
- Background in machine learning, mathematics, computer science (or a related field)
- 6-8 years of experience in a similar position
- Significant experience in applied ML in a business setting
- Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
- Proficiency in Python, Tensorflow, and/or PyTorch.
Nice to Have
- Pragmatic, data-driven, and business-oriented with good team spirit.
- Like to take ownership of your projects and are curious.
- Positive attitude: respect and kindness are part of your values.
Benefits
- Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
- A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
- Real autonomy and responsibility in the projects you own
Work Arrangement
Hybrid
Team
Team size: 60+ people. Structure: Data team
Additional Information
- We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning.
- We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.
