Manager Data Science
EUR 48K-72K (estimate) Mid-level Full Time
Tasks
- Apply data science methods to build machine learning and AI models
- Build ranking search recommendation and retrieval systems
- Communicate technical findings risks and recommendations
- Develop NLP pipelines for extraction and classification
- Enrich knowledge graphs with entity extraction and linking
- Ensure production readiness with engineering partners
- Integrate structured and unstructured scientific data
- Lead and develop a team of data scientists
- Manage delivery across multiple data science projects
- Oversee model evaluation experimentation and quality assurance
- Partner with product engineering and content stakeholders
- Promote responsible AI transparency fairness and privacy
- Run A B testing and offline evaluation
- Set data science strategy and priorities
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Bias Assessment | Data Quality | Databricks | Embeddings | Entity Extraction | Entity Linking | Experimentation | Explainability | Fairness assessment | GenAI evaluation | Haystack | Hugging Face | Human-in-the-loop | Information Retrieval | Knowledge graphs | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | Predictive Analytics | Privacy | Prompt engineering | PyTorch | Python | RAG | Ranking | Recommendation Systems | Retrieval-Augmented Generation | Risk Management | Search | Statistical modeling | Supervised Learning | The Loop | Unsupervised Learning
Education
Roles
Data Science | Manager | Manager Data | Manager, Data Science
Regions
Countries
States
Cities
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