Data Scientist
Tasks
- Add tools to agentic systems
- Build prototype tools
- Conduct statistical and mathematical reasoning for projects
- Contribute to product roadmap
- Convert prototypes to scalable production software
- Design agentic systems
- Design and execute experiments
- Develop prototypes
- Evaluate agentic systems
- Evaluate data sampling integrity
- Experiment with and evaluate solutions
- Participate in strategic planning for data science direction
- Perform ad-hoc analyses
- Support subject matter experts
- Translate customer needs into data science problems
Perks/Benefits
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid leave
- Professional development
- Remote work
- Retirement benefits
- Travel up to 10%
- Tuition assistance
- Vision insurance
Skills/Tech-stack
Agent2Agent Protocol | Agile | Anomaly Detection | Data Visualization | Deep learning | Feature Engineering | Jira | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Context Protocol | Model Evaluation | Model Training | Natural Language | Natural Language Processing | Network Analysis | Prompt engineering | Python | Statistical Testing | Supervised Learning | Text Analytics | Unsupervised Learning | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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