Principal Data Scientist
Tasks
- Collaborate with engineering, product, and architecture teams
- Define and execute enterprise AI ML and GenAI strategy
- Develop production grade AI ML and GenAI algorithms
- Drive experimentation feature engineering model selection tuning and monitoring
- Embed responsible AI model governance and risk management
- Establish standards for modeling and experimentation
- Implement model reproducibility versioning validation and lifecycle management
- Lead technical design reviews and governance
- Mentor and develop data science teams
- Perform exploratory data analysis and data readiness
Perks/Benefits
- 401k matching
- Adoption Assistance
- Dental insurance
- Disability benefits
- Employee assistance program
- Flexible time off
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Prescription Drug Coverage
- Retirement plan
- Tuition assistance
- Vision insurance
Skills/Tech-stack
Artificial Intelligence | Data Analysis | Data Governance | Experiment design | Exploratory Data Analysis | Feature Engineering | Generative AI | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Optimization | Reproducibility | Responsible AI | Statistical modeling | Version control
Education
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