Senior Data Scientist
Tasks
- Build AI features from prototype to production
- Build recommender systems
- Collaborate with product managers and engineers
- Design experiments with offline metrics and A B tests
- Detect anomalies using machine learning
- Develop NLP models for customer use cases
- Ensure responsible AI and compliance
- Forecast using time series models
- Implement RAG systems
- Mentor team and share knowledge
- Train and deploy deep learning transformer models
Perks/Benefits
- Conference support
- Corporate discounts and vouchers
- Home-office allowance
- Hybrid work flexibility
- In-house training
- Paid leave options
- Parental leave
- Study assistance
- Wellbeing support
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | Data Contracts | Data Governance | Data Quality | Data calibration | Deep learning | Drift Detection | Experiment design | Human-in-the-loop | Language Processing | Machine Learning | Model Drift | Model Drift Detection | Natural Language | Natural Language Processing | NoSQL | Observability | Privacy Compliance | Python | RAG | Recommender Systems | Responsible AI | Retrieval-Augmented Generation | SQL | Security | Streaming Data | Telemetry | The Loop | Time Series | Transformers | Vector Stores
Education
N/A
Roles
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