Senior Data Scientist
BGN 90K-96K (estimate) Senior-level Full Time
Tasks
- Analyze experiment results with statistical rigour
- Architect churn models
- Architect next best action decisioning engine
- Build churn intervention scoring layer
- Define and execute A B tests uplift experiments and bandits
- Design and build agentic AI systems
- Lead next most likely product recommendation engine
- Own full lifecycle of complex modelling programmes
- Produce model documentation and present results
- Set and enforce MLOps and evaluation standards
- Take technical ownership of fraud model components
Perks/Benefits
- Dental care
- Free office refreshments
- Health insurance
- Meal vouchers
- Multisport card
- Optical care
- Paid leave
- Public transport pass
- Training budget
- Unlimited course access
Skills/Tech-stack
A/B | A/B Testing | Agent Orchestration | Anomaly Detection | B testing | BigQuery | CI/CD | CLTV | Causal Inference | Contextual Bandits | Drift monitoring | Experiment design | Feature Store | Fraud Detection | GCP | Language Models | Large Language Models | LightGBM | MLOps | Model Registry | Model Serving | Multi-Agent | Multi-agent orchestration | Next Best Action | Pandas | PyTorch | Python | RAG | Recommender Systems | SQL | Scikit-learn | Sequence Modeling | Streaming Data | Survival analysis | TensorFlow | Time Series | Uplift Experiments | Uplift Modeling | XGBoost
Education
Roles
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