Applied Data Scientist
Tasks
- Analyze datasets and derive insights
- Apply data science best practices
- Build predictive models
- Collaborate with cross-functional teams
- Communicate technical concepts to non-technical audiences
- Deploy machine learning models
- Design statistical models
- Develop machine learning algorithms
- Ensure governance compliance
- Explore generative AI use cases
- Generate synthetic data
- Implement analytics pipelines
- Manage data science projects
- Perform anomaly detection
- Present findings to stakeholders
- Refine business requirements
Perks/Benefits
Skills/Tech-stack
Agile | Anomaly Detection | Best practices | Data Analysis | Data Generation | Deep learning | Development Best Practices | Docker | Generative AI | Git | Jira | Language Processing | Machine Learning | Mathematical Modeling | Natural Language | Natural Language Processing | NumPy | Pandas | Polars | Predictive Modeling | Python | SQL | Scikit-learn | Software Development Best Practices | Software development | Statistics | Synthetic Data Generation | Synthetic data | Unix/Linux | Version control
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Bachelor of Science in Mathematics | Bachelor of Science in Physics
Roles
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