Data Scientist - Renewable Forecasting- Remote

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timePosted 5 days ago location United States salarySalary undisclosed
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Job Description

Job Description - Data Scientist - Renewable Forecasting- Remote

Data Scientist, Renewable Forecasting

Product Valhalla, New York

We are looking globally for a highly qualified Data Scientist for our Renewable Forecasting Team who has a strong background in data mining, statistical modeling, and machine learning. Someone with modern data analytics and development tools including, but not limited to; Python, R, and related packages such as TensorFlow and Scikit-Learn in popular cloud environments such as AWS.

What you'll do:
  • You will be expected to research, develop and deliver Client-based forecasting models for the renewable energy sector (wind and solar power) using a wide variety of available numerical weather prediction and sensor data
  • Model predictive analytics based on the real-world problem in particular with multi-variate time-series data.
  • Mentor, coach and lead a team of approximately 4 data science engineers.

What you'll bring:
  • Technical experience in: Machine Learning, Statistical modeling, predictive analytics, probabilistic forecasting.
  • Working experience with Numerical Weather Prediction models
  • Development experience in: Python (Pandas, Scikit-Learn, TensorFlow), R, Git
  • Big data frameworks: Hadoop, HBase, Spark
  • Soft Skills: Team collaboration, desire to mentor, professionally develop and supervise
  • Experience in building/delivering analytics solution for the real-world problems
  • A desire to look for innovative data science approaches at scale
  • Ability to focus on solving customer problems with the primary emphasis on business value
  • Experience building and deploying data science models in production
  • Experience in agile development environments
  • Degree of Master of Science with 5-10 years electrical engineering, computer science or related field. PhD preferred but not required.
- provided by Dice