Data Scientist Engineer Advisor
Tasks
- Apply version control testing documentation and reproducibility
- Build reusable notebooks scripts and pipelines
- Communicate insights model outputs and recommendations
- Consider model explainability data quality bias privacy and responsible AI
- Develop machine learning models for forecasting classification recommendation optimization clustering anomaly detection
- Frame hypotheses and define measurable outcomes
- Perform exploratory data analysis and feature engineering
- Prepare and validate data for machine learning workloads
- Select model approaches using appropriate metrics and explain tradeoffs
- Support model deployment handover and performance monitoring
- Support model monitoring and continuous improvement
- Support proof of concepts project delivery estimates and documentation
- Train validate and evaluate machine learning models
- Translate business problems into analytical tasks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bias Mitigation | Data Analysis | Data Quality | Data leakage | Databricks | Exploratory Data Analysis | Feature Engineering | GCP | LightGBM | MLOps | Machine Learning | Metrices | Microsoft Fabric | Model Evaluation | Model Explainability | Model Validation | Overfitting | Predictive Analytics | PyTorch | Python | Responsible AI | SQL | Scikit-learn | Snowflake | Spark | Statistics | Supervised Learning | TensorFlow | Unsupervised Learning | XGBoost
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