Paris
Full-time
Not specified
Not Applicable
Salary
Sponsorship
15% more than your current base salary
SAVE
APPLY
👥
45
Clicked Apply

Job Description

About Mirakl:Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business.Since 2012, Mirakl has been pioneering the platform economy, empowering retail and b2b enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media.In July 2025, Mirakl launched Mirakl Nexus, the first neutral infrastructure designed for agentic commerce. Built on Mirakl’s 13 years of expertise and innovation, and powered by an ecosystem of more than 100,000 sellers, Mirakl Nexus connects merchants and AI agents to automate product discovery, payments, and after-sales service.For more information: www.mirakl.com.→ Our teams work together daily to develop the roadmap for our SaaS solutions while addressing the issues faced by our customers and users, tackling a range of challenges related to new features, scalability, security, and usability. Mirakl in Numbers:- 🗓️ Founded in 2012 | Member of French Tech Next40- 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo- 🇫🇷 350+ Mirakl Tech teams members mainly based in France- ⚙️ 5 Saas Solutions Our Values:Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.Our 5 values guide how we collaborate:💡 Work Hard Together: Teamwork and collaboration are the foundation of our success🏆 Get Things Done:  We prioritize action and efficiency for impactful results🚀 Go Above & Beyond:  We tackle challenges proactively and always aim for excellence🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture🤝 Satisfy & Empower Clients: We're committed to our clients' success About the jobAs part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. We are looking for someone on a permanent contract, based in Paris, Bordeaux, or working fully remotely (from France).Here are some of the current and future topics the team is working on:Detecting anomalies in product pricesAnalyzing sentiment in seller/consumer exchanges to prioritize critical messagesEstimating package delivery timesPredicting and anticipating stock shortagesDetecting anomalies in seller behaviorDeveloping AI agents to help sellers take action on their businessesThis job offers you: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 ownOur stack and tools:Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta LakeOn a daily basis, you will:Analyze and prepare data, prototype algorithmsPut them into production in collaboration with Data Engineers and development teamsCreate dashboards to illustrate the relevance of algorithms and monitor productionPresent results at weekly data science meetings and participate in team brainstorming sessionsLiaise with other teams to refine use cases, user experience, and integration methods You will enjoy this job if:You have a background in machine learning, mathematics, computer science (or a related field)You already have 3 years of experience in a similar positionYou have significant experience in applied ML in a business settingYou have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)You are proficient in Python, Tensorflow, and/or PyTorchYou are pragmatic, data-driven, and business-oriented with good team spiritYou like to take ownership of your projects and are curiousYou have a positive attitude: respect and kindness are part of your values Want to join us? ⭐A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in returnAn initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projectsA practical case study to complete at homeA 75-minute technical review and discussion with a manager from the Data Science teamA final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate 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.

Responsibilities

Job Requirements

Apply now
Read Full Description

More job openings