Data Scientist (KTP Associate)
Tasks
- Build Bayesian inference models
- Communicate technical findings to non-specialists
- Detect anomalies and outliers
- Develop forecasting models
- Disseminate findings via reports and papers
- Forecast household energy usage
- Impute missing data
- Incorporate external variables
- Integrate data sources into a platform
- Model heterogeneous data patterns
- Train LSTM forecasting models
- Translate predictions into pricing strategies
Perks/Benefits
- Mentoring
- Opportunity to lead projects
- Personal training budget
- Professional development opportunities
- Residential managerial workshops
- University resource access
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Bayesian Inference | Computational statistics | Data Imputation | Data integration | LSTM | Long Short-Term Memory | Machine Learning | Markov Chain | Markov chain Monte Carlo | Missing data | Missing data imputation | Monte Carlo | Outlier Detection | Project Management | Python | R | Seasonal ARIMA | Sequential Monte Carlo | Sequential data | Series analysis | Short Term Memory | Statistical modeling | Time Series | Time Series Analysis | Weather data | Weather data integration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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