Senior Data Scientist
Tasks
- Build reusable AI components retrieval pipelines structured prompting orchestration workflows evaluation harnesses
- Contribute to peer review processes for technical rigor and maintainability
- Create reusable datasets feature pipelines experimentation frameworks
- Design develop deploy GenAI powered internal applications
- Design retrieval strategies to connect LLMs to internal knowledge sources
- Develop and maintain statistical machine learning models for automation optimization forecasting classification
- Document methodologies assumptions implementation details
- Implement evaluation validation frameworks for quality accuracy consistency
- Partner cross functionally to identify AI enablement opportunities
Perks/Benefits
- Continued career development access
- Employee resource groups
- Flexible WFH policy
- Generous PTO
- Mental and physical wellness programs
- Paid volunteer time
- Phone and internet reimbursement
- Work-life balance support
Skills/Tech-stack
Embeddings | FastAPI | Generative AI | Git | Jupyter | LLM | Language Models | Large Language Models | Machine Learning | NumPy | Pandas | Prompt engineering | Python | R | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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