Advanced Data Scientist
Raleigh, NC, United States
USD 92K-113K (estimate) Mid-level Full Time
Tasks
- Build machine learning pipelines for feature engineering training validation and deployment
- Design statistical and machine learning models for forecasting and detection
- Develop load forecasting demand response optimization and outage prediction systems
- Develop predictive maintenance and degradation models using telemetry and SCADA data
- Ensure model interpretability and explainability
- Implement model monitoring drift detection and automated retraining
- Implement time series modeling on high volume meter data
- Translate business problems into modeling frameworks
Perks/Benefits
- 401k match
- Dental insurance
- Educational assistance
- Employee assistance program
- Flexible spending accounts
- Health savings accounts
- Hybrid work schedule
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid time off
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
ARIMA | Anomaly Detection | Bayesian Inference | CI/CD | Databricks | Drift Detection | Feature Engineering | Forecasting | Geopandas | Git | GlmmTMB | Glmnet | Gradient boosting | Graph Modeling | LSTM | Lme4 | MLflow | Mgcv | Model Deployment | Model Monitoring | Network Analysis | Neural Networks | NumPy | Pandas | PySpark | PyTorch | Python | R | SCADA | SQL | Scikit-learn | StatsModels | Tidyverse | Time Series | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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