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Under the general direction of the Director participates in developing programs to track evaluate implement and promote forecasting model evolution including production modeling on Short Term Forecasting using Big Data Machine Learning Numerical Weather Prediction Models Artificial Intelligence and Neural Networks. Develops and enhances energy efficiency models demand response models and other energy models and incorporates their impacts to the Short Term Load Forecast.
What You Will Be Doing:
Qualifications :
Level of Education and Discipline:
A Bachelors degree (BA. BS) or equivalent education training or experience in Engineering Mathematics Statistics Computer Science Meteorology Economics or a closely related field. Masters degree preferred.
Amount of Experience:
Equivalent years of education and training plus two 2 or more years related experience.
Type of Experience:
Experience in Short or Long Term (Load Wind and/or Solar generation Uncertainty) forecasting using artificial neural network (ANN) Support Vector Machine (SVM) machine learning and/or regression forecasting techniques. Experience in Short or Long Term Forecasting (Load Uncertainty Wind and/or Solar generation) using numerical weather prediction. Opensource project experiences that demonstrate programming mathematical and machine learning abilities and interest. Experience showing application of statistics advanced mathematics simulation software development and data modeling to integrate and clean data recognize patterns address uncertainty pose questions and make discoveries. Experience in data management and scientific application processing including data warehousing workflow development and automation. Research experience in Machine Learning Artificial Intelligence and Neural Networks (e.g. links to opensource work or link to novel learning algorithms). Knowledge and experience in electricity market designs and power system operations desired. Experience in forecast model technique tuning and demonstrated model improvements desired. Familiarity with Numerical Weather Prediction Models and aptitude for working with the statistical analysis of data and gridded atmospheric data sets. Familiarity with ITRON forecast model is preferred. Desired programming languages SQL UNIX C C# python NCL PERL Gempack R VBA etc.
Additional Skills and Abilities:
Must be able to work effectively in a team environment as facilitator and team member. Excellent analytical verbal and written communication and documentation skills required with a demonstrated attention to detail. Ability to use deductive reasoning and analytical thinking with sound judgment and decisionmaking skills. Excellent interpersonal and conflict resolution skills are also essential. Must be selfstarting and willing and able to work independently in a dynamic corporate organization under pressure of tight deadlines and aggressive expectations. Selfmotivated problem solving skills and the ability to influence others without direct authority.
Additional Information :
The pay range for the Forecast Model Analyst position is $43.27 $72.12 / hour.
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Fulltime
Remote