Data Scientist (m/f/d)
Primary stack
PythonMachine Learning
Job description
About the Position
We are looking for a Data Scientist (m/f/d) to join our team and implement machine learning and AI solutions for business optimization.
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 wireframe, 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.
Requirements
- 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 Dataiku is a plus.
What We Offer
- 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.
- Flexible working schedule.
About the Company
Join the best experts in Cloud Data & AI. We're waiting for you!
Locations
- Stuttgart, Germany
- Munich, Germany
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