Principal Data Scientist
Tasks
- Collaborate with data engineering on data readiness
- Conduct technical design reviews
- Define AI ML and GenAI strategy
- Design data science experimentation
- Develop production grade machine learning models
- Drive responsible AI standards
- Ensure reproducibility and versioning
- Establish model governance and risk management
- Implement feature engineering
- Integrate analytics ML and GenAI into workflows
- Lead enterprise data science initiatives
- Lead model evaluation and tuning
- Mentor and develop data science teams
- Monitor model performance in production
- Partner with engineering, product, and architecture teams
- Perform exploratory data analysis
- Translate emerging AI ML trends into applications
Perks/Benefits
- 401k matching
- Disability benefits
- Employee assistance program
- Health Coach
- Life insurance
- Mentorship
- Paid Holidays
- Paid parental leave
- Permissive time off
- Tuition assistance
Skills/Tech-stack
Artificial Intelligence | Data Analysis | Data Versioning | Data readiness | Experimentation | Exploratory Data Analysis | Feature Engineering | Generative AI | Information Retrieval | Lifecycle Management | Machine Learning | Model Evaluation | Model Governance | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model Tuning | Optimization | Reproducibility | Responsible AI | Statistical modeling
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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