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Data Scientist / Singapore

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Added:2020-10-27
Location: Singapore
Salary:Competitive
Duration:Permanent
Apjid3
The client are assisting a growing Data Science R&D team seek a Data Scientist to help them change the world of energy. If you have a superb track record of using data science and/or machine learning and an interest in building a sustainability-minded Data Science function, then this role could be for you.

Responsibilities:

As a Data Scientist, you will be responsible for helping to lead a growing R&D / Lab function and the application of analytics, data science and machine learning techniques to industry-leading energy forecasting solutions.

  • The Data Scientist's responsibility is to lead the continuous development of advanced analytics and machine learning capabilities.
  • Participate in all the programs of the Lab, by supporting their development needs in data analysis, software development, digital solutions or mathematical modelling;
  • Designing and managing advanced analytics and data science solutions.
  • For example: continuously improving data science platforms, including for forecasting and real-time analytics.
  • Optimisation of algorithms to operate and manage distributed energy assets (real time).
  • Build, validate and update complex data science models.
  • Manage and test machine learning methods, processes, and techniques.

Requirements:

  • Experience of managing data science and analysis within a data-intensive environment. (energy, tech, finance desirable).
  • Strong problem-understanding and problem-solving skills.
  • Demonstrated ability to work with large volumes of data.
  • Excellent understanding and ongoing learning of Data Science and Machine Learning frameworks, tools and algorithms, both for regression and classification problems (Python, Java and MatLab highly desirable).
  • Post-grad education (PhD/MSc) preferred with education in AI, Machine Leaning, Data Science, or Quantitative subject.

Further Desirable Skills:

  • Knowledge of the Energy Sector
  • Experience working with time-series data (real time)
  • On-the-fly' augmentation experience
  • Top Data Science credentials (such as Kaggle Masters)


How to Apply









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