Data Engineer

Data EngineerDuration – 6 to 12 monthsLocation – RemoteYou will work with a team of data engineers and scientists who use data and apply cutting statistical machine learning models to build forecasting models for different energy markets. The entire Data team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues. Specific responsibilities include:Analyze energy time series and summarize the statistical properties of energy signalsBuild predictive models and forecast signals for day ahead and realtime marketEvaluate the performance and compare the results with existing modelsDeploy the best model and document the result of this researchBusiness Skills -Excellent verbal, written, and interpersonal communication skillsStrong understanding of the product development lifecyclesStrong understanding of software development, testing and integration methodologiesPersonal effectiveness/credibilityStrong problem solving and analysis skillsTechnical SkillsProficiency with Python or R, SQL and familiarity with working in big data environmentsExperience with:Statistical machine learning tools such as Random Forests, Gradient Boosting, or XGBoostTime Series AnalysisDeep learningModel evaluation and hypothesis testingDeploying apps on AWS cloud infrastructure