Data Scientist
Tasks
- Build and deploy advanced analytics solutions
- Collaborate in software development processes
- Conduct operations research and optimization
- Create reusable analytical frameworks and templates
- Develop predictive models and forecasting models
- Document requirements and software code
- Gather requirements and define analytics success metrics
- Integrate structured and unstructured data
- Lead analytics workshops with stakeholders
- Manage analytics project lifecycle to production
- Monitor deployed models and ensure performance
- Perform text mining and network analytics
- Prepare technical documentation for governance and audits
- Produce client-ready deliverables
- Research industry trends and client domain context
- Validate models for explainability fairness scalability security
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Apache Spark | CI/CD | Code review | Data Ingestion | Data Pipelines | Data Processing | Data Transformation | Data Visualization | Data Warehousing | Generative AI | Git | Hyperparameter Optimization | Language Models | Large Language Models | Model Validation | Network Analytics | NumPy | Object-Oriented | Object-oriented programming | Operations Research | Optimization | Pandas | PySpark | Python | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Test-Driven | Test-Driven Development | Text Mining | XGBoost
Education
N/A
Roles
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