Senior Data Scientist
Tasks
- Analyze data using statistics and machine learning
- Automate analytical and operational tasks using agents
- Build and evaluate LLM powered workflows
- Collaborate using Git-based workflows
- Communicate findings to business product and engineering stakeholders
- Deploy and support AI workflows on GCP
- Develop agent evaluation frameworks
- Evaluate systems and guide decision making
- Experiment with AI development environments
- Use SQL to extract, transform, and analyze data
Perks/Benefits
Skills/Tech-stack
Accuracy | Agentic AI | Causal Inference | Cloud Storage | Cost Optimization | Evaluation | Experimentation | Failure mode analysis | Feature Engineering | GCP | Git | Google BigQuery | Google Cloud | Google Cloud Storage | Hypothesis Testing | Interpretability | LLM Agents | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Overfitting | Prompt engineering | Python | Quality metrics | Regression | Reliability | SQL | Statistics | Supervised Learning | Unsupervised Learning | Vertex AI
Education
Roles
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