Data Scientist
Tasks
- Add functions classes and tools to Python data science libraries
- Build LLM powered pipelines and agents
- Build data products and data pipelines
- Build machine learning models for production
- Calibrate LLM as a judge rubrics
- Debug distributed systems and optimize performance
- Deploy and manage MLOps workflows
- Develop generative models for mixed data sources
- Develop subscriber behavior prediction models
- Implement evaluation sets and pass fail checks
- Integrate agent tools with internal APIs
- Process large messy datasets and extract patterns
- Set up tracing for cost latency quality
- Write testable production grade Python code
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Agents SDK | Apache Spark | BigQuery | Braintrust | Claude Code | Cloud Run | Cloud platform | Codex CLI | Context engineering | Cursor | Dask | Data pipeline | Data pipeline orchestration | Dataproc | Deep learning | Docker | GKE | Google Cloud | Google Cloud Platform | LLM | Langfuse | Langgraph | Langsmith | MLOps | Machine Learning | OpenAI Agents | OpenAI Agents SDK | Pipeline Orchestration | PySpark | PyTorch | Pydantic | Pydantic AI | Python | RAG | SQL | Structured outputs | TensorFlow | Tracing
Education
N/A
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