Տվյալագիտության ծառայության ղեկավար
Core
Lead the digitization and efficiency improvement of risk management processes through predictive, statistical, and AI/ML modeling.
Role type
Senior IC data scientist (risk management)
Builds
Production ML models and data pipelines for risk management
Domain
Financial services / Risk management
Deliverable
production ML models
Required skills
Python (Pandas, NumPy, Scikit-Learn, SciPy, Matplotlib, Seaborn, Plotly), statistical modeling, feature engineering, A/B testing, data preparation, T-SQL, cloud AI solutions
Preferred skills
Deep learning, OOP, financial regulatory compliance, data privacy and security standards
Technologies
Pandas, NumPy, Scikit-Learn, SciPy, Matplotlib, Seaborn, Plotly, T-SQL
Responsibilities
Design, develop, validate, and certify predictive, statistical, and AI/ML models; Analyze large-scale and complex data to identify trends, correlations, and predictive opportunities; Support A/B testing, experiments, and model performance evaluation; Collaborate with business stakeholders to understand requirements and deliver results; Present findings and recommendations to technical and non-technical audiences
Seniority
Senior, hands-on IC
