Senior Applied Data Scientist
Tasks
- Build analytics pipelines
- Build predictive models
- Communicate findings to stakeholders
- Define data science requirements
- Deploy data science solutions
- Design machine learning models
- Develop anomaly detection models
- Ensure model governance compliance
- Ensure scalable high quality deployments
- Explore generative AI opportunities
- Generate synthetic data
- Implement data science best practices
- Lead data science project lifecycle
- Present technical results
- Provide technical mentorship
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | CI/CD | Data Analysis | Data Generation | Deep learning | Docker | Generative AI | Git | Language Processing | Linux | Machine Learning | Mathematical Modeling | Natural Language | Natural Language Processing | NumPy | Pandas | Polars | Predictive Modeling | PyTorch | Python | SQL | Scikit-learn | Statistics | Synthetic Data Generation | Synthetic data | Transformers | Unix | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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