Remote Jobs on AfriSplash Remotely

The problems you’ll solve 

• Implement data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.
• Build advanced time series forecasting models at scale.
• Create relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.
• Continuously monitor the training process and evaluate 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.

You may be a fit for this role if

You have senior expertise with building machine learning algorithms. You have 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.