Data Scientist
Tasks
- Apply machine learning deep learning and network analysis to generate insights
- Conduct statistical and mathematical reasoning for project delivery
- Contribute to product roadmap for data science
- Convert prototypes into scalable production software
- Design and evaluate agentic systems with tools
- Design and execute experiments to validate data sampling and collection
- Experiment with and evaluate solutions to build prototypes
- Lead technical discussions on data science strategy
- Perform ad hoc analyses or build prototype tools for subject matter experts
- Translate customer needs into data science or engineering problems
Perks/Benefits
- Dental insurance
- Medical insurance
- Paid leave
- Professional development
- Remote work option
- Retirement benefits
- Travel up to 10%
- Tuition assistance
- Vision insurance
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 | Model Training | Multi Language Natural Language Processing | Multi-language | Natural Language Processing | Network Analysis | Probability Distributions | Prompt engineering | Python | Sampling Methodologies | Statistical Tests | Supervised Learning | Text Analytics | Unsupervised Learning | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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