Principal Data Scientist
Tasks
- Architect GenAI and RAG solutions
- Collaborate with data engineering on structured and unstructured data
- Define and execute enterprise AI ML and GenAI strategy
- Design experimentation and evaluation metrics
- Develop and deploy production grade AI ML solutions
- Drive reproducibility versioning validation and auditability
- Establish modeling standards and best practices
- Implement model lifecycle management and governance
- Lead exploratory data analysis and data readiness
- Lead technical design reviews for AI ML initiatives
- Mentor and develop data science teams
- Monitor model performance and improve through iteration
- Partner with engineering product and architecture teams to integrate AI ML into workflows
Perks/Benefits
- Adoption Assistance
- Dental insurance
- Disability benefits
- Employee assistance program
- Health Coach access
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Permissive time off
- Prescription Drug Coverage
- Retirement savings plan
- Tuition assistance
- Vision insurance
Skills/Tech-stack
Data Analysis | Data Versioning | Deep learning | Experimentation | Exploratory Data Analysis | Feature Engineering | Generative AI | Language Processing | Lifecycle Management | Machine Learning | Model Governance | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | Optimization | Retrieval-Augmented Generation | Statistical modeling
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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