Data Scientist
Tasks
- Analyze large messy datasets for patterns
- Build LLM powered pipelines and agents
- Build machine learning models in production
- Collaborate with stakeholders on technical decisions
- Create eval sets and run model evaluations
- Debug distributed systems and improve performance
- Deploy and scale analytics workloads in cloud
- Design data products and ship models
- Develop SQL queries for large datasets
- Optimize Python core data science libraries
Perks/Benefits
Skills/Tech-stack
AI Pipelines | Agents SDK | Airflow | Apache Spark | BigQuery | Braintrust | Cloud Run | Cloud platform | Dask | Data Analysis | Docker | Evals | Git | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | LLM | Langfuse | Langgraph | Langsmith | MLOps | Machine Learning | Model Monitoring | NumPy | Object-Oriented | Object-oriented programming | Observability | OpenAI Agents | OpenAI Agents SDK | Pandas | PySpark | PyTorch | Pydantic AI | Python | RAG | SQL | Scikit-learn | TensorFlow | Tracing | Unit Testing | Vector Search | Vertex AI | Vertex AI pipelines
Education
N/A
Roles
Regions
Countries
States
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