Data Scientist

Responsibilities

• Hands‑on implementation of Machine Learning use, AI agents to automate business workflows, propensity modelling to roll out marketing campaigns, forecasting for demand prediction and assortment optimization.
• Deploy, maintain, and monitor AI solutions. Design scenarios, schedule jobs to run batch models or APIs for on‑demand serving.
• Present to technical and or business stakeholders. Prepare and carry out presentations with the key business stakeholders involved in the projects to show the results of ML models to a non‑technical audience and how they bring value to the business.
• Gather business requirements from business users and technically implement them to meet the requirements.
• Defining business requirements, document them, create wire frame, communicate to Developers, monitor development, conduct internal testing and validate every KPI Numbers & Formulas.
• Own and develop relationship with partners, working with them to optimize and enhance our integration.
• Report on common sources of technical issues or questions and make recommendations to product team.
• Communicate key insights and findings to product team.

• 4+ years of prior experience in a Data Scientist role.
• Strong Data Engineering skills and software development skills.
• Expertise in Python and any one of the associated frameworks (scikit‑learn, Tensorflow, PyTorch, h2o, etc.) for ML and DL.
• Expertise in the concepts of Statistics, Machine Learning and Agent‑based AI.
• Knowledge in ML‑Ops (deployment of models, model performance monitoring, data drift, REST API integration, simulations, etc.).
• At least 3 Machine Learning project implementation experience in production.
• Excellent communication and collaboration skills, able to explain complex effects and impacts in simple business terms.
• Knowledge of optimization techniques (OR, MIP, …) is a plus.
• Knowledge on Data Iku is a plus.

• Be part of an international and talented team, enjoying an excellent work environment where people are passionate about what they do.
• Attractive salary according to experience and knowledge provided.