Principal Data Scientist
Tasks
- Architect enterprise data science solutions
- Build feature engineering and tuning pipelines
- Collaborate with data engineering on data integration
- Conduct technical design reviews
- Define AI ML and GenAI strategy
- Develop production grade machine learning models
- Develop reusable GenAI and RAG assets
- Drive experimentation evaluation and responsible AI
- Ensure data readiness for AI development
- Establish modeling and experimentation standards
- Implement model reproducibility and versioning
- Lead exploratory data analysis
- Manage model lifecycle governance
- Mentor and develop data scientists
- Monitor and improve model performance
- Partner with engineering, product, and architecture teams
Perks/Benefits
- 401k
- Dental insurance
- Disability benefits
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Prescription Drug Coverage
- Relocation assistance not provided
- Retirement plan matching
- Tuition assistance
- Vision insurance
Skills/Tech-stack
Artificial Intelligence | Data Analysis | Data Validation | Experimentation | Exploratory Data Analysis | Feature Engineering | GenAI | Generative AI | Lifecycle Management | Machine Learning | Model Governance | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model Tuning | Model selection | Optimization | RAG | Reproducibility | Responsible AI | Statistical modeling | Version control
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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