Чем предстоит заниматься
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