Data Scientist
Tasks
- Analyze graph data for knowledge discovery
- Assess data science requirements
- Build machine learning models
- Collaborate with scientists to integrate research results
- Create data visualizations
- Deploy data science solutions
- Design access control and indexing components
- Develop data analysis algorithms
- Develop extensible data science software
- Develop natural language processing solutions
- Develop software for data science pipelines
- Implement data integration and data streaming
- Perform data exploration and feature engineering
- Perform information visualization
Perks/Benefits
- 401k
- Access to professional development
- Education reimbursement
- Flexible benefits package
- Flexible schedules
- Hybrid work schedule
- Relocation assistance
Skills/Tech-stack
Bayesian optimization | Big Data | C++ | Computer Vision | Coresets | Data Exploration | Data Fusion | Data Mining | Data Poisoning Attacks | Data Visualization | Data poisoning | Deep learning | Distributed machine learning | Evasion attacks | Feature Engineering | Generative Models | Graph Analysis | Graph Neural Networks | Language Processing | Learning operations | Linux | Low-shot learning | Machine Learning | Machine Learning Operations | Natural Language | Natural Language Processing | Neural Networks | Poisoning Attacks | Privacy Attacks | PyTorch | Python | R | Reinforcement Learning | Scikit-learn | Statistical Analysis | Supervised Learning | Surrogate modeling | Surrogate models | TensorFlow | Transfer Learning | Transformers | Uncertainty Quantification | Unix | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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