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