Staff Data Scientist
Tasks
- Apply NLP and text analytics to unstructured case data
- Build statistical models and machine learning solutions
- Collaborate with data engineering on pipelines and data quality
- Create customer facing analytics and benchmarking insights
- Define responsible AI and ML governance standards
- Design and execute experiments with statistical methods
- Design anonymization pipelines for sensitive text
- Develop data understanding and data landscape documentation
- Establish data science standards and reproducibility norms
- Maintain statistical evaluation framework for AI and ML features
- Mentor and provide technical guidance to junior practitioners
- Monitor model and data quality for drift
- Translate analytics into product decisions and stakeholder narratives
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Anonymization | B testing | Bias Mitigation | Data Drift | Data drift monitoring | Drift monitoring | Embeddings | Entity Extraction | Entity recognition | Experiment tracking | Fairness | Machine Learning | Model versioning | NLP | Named Entity Recognition | PII Detection | Pandas | Power analysis | Privacy | Python | Responsible AI | SQL | SciPy | Scikit-learn | Significance Testing | Statistical modeling | StatsModels | Text Analytics | Text Classification | Topic Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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