- Job type
- Not listed
- Work mode
- Not listed
- Level
- Principal
- Department
- Data and Analytics
- Experience
- Not listed
- Posted
- Sep 11, 2026
About the role
Role Description:
The Data Scientist will apply statistical, analytical, and machine-learning techniques to improve decision-support workflows and the performance of AI-enabled capabilities. The Data Scientist will analyze operational data, identify opportunities for automation and decision support, develop analytical models and evaluation methodologies, and help establish measurable performance indicators for delivered capabilities.
The role will work closely with the AI/ML Architect and AI/ML Engineer to evaluate model and agent performance, develop datasets and test cases, analyze user feedback and system behavior, and identify opportunities to improve AI outputs. The Data Scientist will also support institutional knowledge and information-synthesis capabilities.
Technical Skills:
- Python
- Pandas
- NumPy
- SciPy
- Scikit-learn
- Statistical analysis
- Machine learning
- Predictive modeling
- Classification/clustering
- Natural language processing
- LLM evaluation
- Data visualization
- Jupyter
- SQL
- Feature engineering
- Experimental design
- Model evaluation
- A/B testing
- Data quality analysis
- Time-series analysis
- AI performance metrics