Data Scientist II
Tasks
- Analyze complex datasets
- Apply model safety and privacy reviews
- Build agentic automation solutions
- Collaborate with stakeholders to define KPIs
- Create reports dashboards and presentations
- Design data pipelines models and dashboards
- Develop and deploy AI and LLM solutions
- Develop data infrastructure and pipelines with IT
- Document and scale analytics outputs
- Enhance and automate analytics
- Implement statistically valid analytics
- Maintain code version control and deployment pipelines
- Monitor emerging AI technologies and recommend improvements
- Provide mentorship to junior analysts
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | DBT | Data Modeling | Data Pipelines | Data Visualization | Deep learning | Domino | Feature Store | GCP | GitHub | Huggingface | LLM | Langchain | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Prompt engineering | PyTorch | Python | R | RAG | SQL | Statistical Analysis | Tableau | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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