Senior/Lead Data Scientist
Tasks
- Build predictive models
- Create user matching models
- Detect anomalies in data
- Develop fraud detection systems
- Enhance MLOps pipelines
- Implement real time scoring
- Improve forecasting models
- Perform feature engineering
Perks/Benefits
- AI workation up to 5 days per quarter
- Conference participation
- Learning budget
- Mentorship
- Paid vacation
- Remote work options
- Sabbatical leave
- Sick leave coverage
- Sport allowance
- Wellness club membership
Skills/Tech-stack
Anomaly Detection | Apache Airflow | CI/CD | Docker | Feature Engineering | Gradient boosting | MLOps | Machine Learning | Python | Real Time | Real-time Scoring | SQL | Series forecasting | Time Series | Time Series Forecasting
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist | Senior Data Scientist
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