Lead Data Scientist
Tasks
- Analyze large complex structured and unstructured datasets
- Apply Agile practices and support continuous improvement
- Collaborate with clinical operational and business stakeholders
- Create data visualizations for stakeholder insights
- Deploy predictive models and advanced analytics solutions
- Develop statistical optimization machine learning and AI models
- Establish data quality standards
- Estimate effort manage priorities communicate status and mitigate risks
- Evaluate emerging analytics techniques and AI innovations
- Manage model governance explainability compliance and validation
- Mentor data scientists and analysts
- Monitor model performance and detect drift
- Prepare data for modeling profiling validation cleansing feature engineering
- Provide end to end model lifecycle ownership from definition to deployment and improvement
- Provide guidance as AI and statistics subject matter expert
- Translate analytical findings into executive presentations
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Artificial Intelligence | Classification | Clustering | Data Cleansing | Data Validation | Data Visualization | Data profiling | Deep learning | Drift Detection | Explainable AI | Feature Engineering | Generative AI | Language Processing | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Optimization | Regression | Statistical Analysis
Education
Roles
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