Lead Data Scientist (38594)

Join a dynamic team as a Lead Data Scientist and play a key role in shaping the future of AI. You’ll be working on innovative Machine Learning models that improve real-time customer and partner experiences. I am looking for someone with an M.Sc. or Ph.D. in a relevant field and at least 2 years of experience in data science. You’ll need expertise in machine learning algorithms, Python, and SQL, as well as the ability to work in a remote, fast-paced environment. If you're passionate about AI and data-driven decision-making, apply today.

🚀 Project
- working in an international  delivery team which builds world-class Machine learning models
- take ownership of implementing ML models to improve real-time customers' and partners' experience
- contributing to the impact of AI by enabling data-driven decision support 
- defining and continuously optimizing your models using KPIs

🎯 Skills
- M.Sc. (or Ph.D.) in statistics, math, computer science, or a STEM field or relevant Hands-on experience
- 2+ years of practical experience as a Data Scientist
- strong skills to analyze the problem and define the next steps
- proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
- experience in communicating your findings and recommendations to technical and non-technical stakeholders
- ability to collaborate in remote working environment is essential for success in this role
- good understanding of statistics and machine learning from simple linear models to neural networks (SVM, LightGBM, XGBoost, LSTM)
- good understanding of Python and its ecosystem, especially frameworks oriented to data science such as NumPy, Pandas, Scikit-learn
- proficiency in SQL
- experience with cloud providers such as GCP (preferred), AWS or Azure

💡 Nice to have
- proven experience in deploying models to production environments
- experience with one or more container ecosystems (Docker, Kubernetes) and REST frameworks (Flask, FastAPI)
- hands on experience on use-cases involving customer analytics, fraud analytics, recommendation systems
- experience on Graph Neural Networks (GNNs)
- working experience in Marketplaces and/or digital businesses (B2B, B2C)
- organizational and multitasking skills with the ability to balance competing priorities
- German language