Data Scientist
Tasks
- Add tools to agentic systems
- Build prototype tools for stakeholders
- Build prototypes into production software
- Conduct ad-hoc analyses
- Contribute to product roadmap
- Design agentic system prototypes
- Develop statistical and mathematical reasoning solutions
- Evaluate agentic and generative AI effectiveness
- Evaluate prototypes
- Experiment with data science solutions
- Participate in data science strategy discussions
- Perform machine learning and deep learning analytics
- Run experiments for data sampling integrity
- Translate customer needs into data science problems
Perks/Benefits
Skills/Tech-stack
Agent2Agent Protocol | Agentic AI | Agile | Anomaly Detection | Data Visualization | Deep learning | Feature Engineering | Generative AI | Jira | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Likelihood estimation | Machine Learning | Maximum likelihood | Maximum likelihood estimation | Model Context Protocol | Model Evaluation | Natural Language | Natural Language Processing | Network Analysis | Prompt engineering | Python | Sampling | Statistical Testing | Text Analytics | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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