Role overview
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
For more information: www.mirakl.com.
What we're looking for
- 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
- Proven track record of deploying Machine Learning algorithms to production
- Experience with Spark development for large-scale data processing
Skills:
- Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
- Proficiency in Python and TensorFlow and/or PyTorch
- Knowledge of the latest LLMs and fine-tuning techniques
- Data-driven, pragmatic, and business-oriented approach
- Strong ownership and autonomy with excellent team collaboration
Interview process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
A take-home assignment to demonstrate your technical skills
A 75-minute technical debrief and discussion with the Data Science Team managers
2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture
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. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations..
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.