Data Scientist Lead
Tasks
- Architect agentic workflows and tool calling
- Build and automate scalable data pipelines
- Build retrieval-augmented generation pipelines
- Collaborate cross-functionally for requirements and delivery
- Deploy data-driven solutions
- Design evaluation harnesses for agent behavior
- Develop predictive models and optimization routines
- Implement observability and evaluation metrics
- Lead model backtesting and performance validation
- Mentor junior staff and establish best practices
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- Onsite wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AWS | Apache Spark | Data Governance | Data Modeling | Databricks | Deep learning | Docker | EC2 | ELT | EMR | ETL | Faiss | Git | Kubernetes | Langchain | Langgraph | Language Processing | Linux | Llamaindex | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | NumPy | Observability | PGVector | Pandas | Pinecone | Prompt engineering | Python | RAG | S3 | SQL | SciPy | Snowflake | TensorFlow | Vector Databases | XGBoost
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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