[Remote] Senior Data Scientist at Ameren

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Senior-level expertise with building machine learning algorithms
Extensive experience with data collection and data processing
Experience with techniques like data cleaning, normalization, and feature engineering to prepare the data for modeling
Experience with time series analysis and predictive modeling
Experience with Python and other modeling tools

Implementing data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data
Building advanced time series forecasting models at scale
Creating relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables
Continuously monitoring the training process and evaluating model performance on the validation set
Deploying well-performing models into a production environment
Analyzing historical data and real-time information to determine changes in energy consumption