Data Scientist / Machine Learning Engineer
Tasks
- Analyze large scale unstructured datasets
- Apply machine learning techniques
- Apply natural language processing techniques
- Apply network analysis techniques
- Curate and develop structured and unstructured data foundations
- Deploy and maintain JupyterHub environments
- Develop Python tools and packages for data analysis
- Process and index high-volume data streams
- Process modeling data and perform advanced analytics
- Visualize data insights
Perks/Benefits
- 401k match
- Collaborative work environment
- Dental insurance
- Health insurance
- Life insurance
- Long-term disability
- Performance bonus
- Professional development
- Short-term disability
- Vision insurance
Skills/Tech-stack
JupyterHub | Language Processing | Machine Learning | Matplotlib | Natural Language | Natural Language Processing | Network Analysis | NetworkX | Pandas | Plotly | PyTorch | Python | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning
Education
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