Data Scientist or Decision Scientist
Tasks
- Automate workflows with AI agents
- Build and deploy AI agents
- Collaborate on demand forecasting models
- Collaborate on rental pricing optimization models
- Collaborate with engineering data engineering DevOps and cybersecurity
- Conduct statistical analysis
- Design multi-agent workflows
- Develop LLM and agentic AI applications
- Develop machine learning solutions
- Evaluate LLM performance
- Implement rag pipelines
- Perform predictive modeling
- Transform datasets into actionable insights
- Use embeddings for vector search
- Validate scientific methodologies
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Boosted Trees | Clustering | Deep learning | Embeddings | Gradient Boosted Trees | LLM Evaluation | Language Models | Large Language Models | LightGBM | Machine Learning | Multi-Agent | Multi-Agent Systems | Neural Networks | NumPy | Pandas | Predictive Modeling | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Statistical Analysis | Transformer Architectures | Vector Databases | Vector Search | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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