Principal Applied Scientist
Tasks
- Architect predictive generative and optimization models
- Build model monitoring for performance reliability and data quality
- Collaborate with clients to gather feedback
- Deploy and maintain models with engineering and DevOps
- Design novel machine learning and optimization methodologies
- Develop analytics forecasting and decision support models
- Drive experimentation and rapid prototyping
- Ensure HIPAA and healthcare data privacy compliance
- Implement responsible AI validation monitoring and risk management
- Lead machine learning research design deployment in production
- Leverage data assets for new AI driven products insights and automation
- Research and evaluate emerging AI foundation models and agentic systems
- Serve as technical mentor and leader
- Translate AI capabilities into scalable production solutions
- Write production-ready, scalable code
Perks/Benefits
- 401k match
- Employee assistance program
- Employee stock purchase plan
- Flexible schedule
- Flexible spending account
- Life insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid Company Holidays
- Paid parental leave
- Paid time off
- Short-term disability
- Tuition reimbursement
Skills/Tech-stack
Agentic AI | Autogen | CrewAI | Data Quality | Decision support | Deep learning | Forecasting | Generative AI | GitHub Copilot | HIPAA | LLM Evaluation | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Monitoring | Model Validation | OpenAI Codex | Optimization | Predictive Modeling | PyTorch | Python | RAG | Risk Management | Statistics | TensorFlow
Education
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