Data Scientist
Tasks
- Add tools for agentic systems
- Build prototype tools for subject matter experts
- Contribute to data science product roadmap
- Convert prototypes into scalable software
- Design and build agentic systems
- Develop prototypes for data science and engineering
- Evaluate effectiveness of agentic and generative AI
- Execute experiments to evaluate data collection strategies
- Experiment with and evaluate solutions
- Participate in data science strategy discussions
- Perform ad-hoc analysis
- Plan experiments for data sampling integrity
- Translate customer needs into data science problems
Perks/Benefits
Skills/Tech-stack
Agentic AI | Agile | Anomaly Detection | Data Experimentation | 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 Evaluation | Model Training | Natural Language | Natural Language Processing | Network Analysis | Prompt engineering | Python | Sampling Methodologies | Statistical Tests | Statistics | Supervised Learning | Text Analytics | Unsupervised Learning | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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