Principal Data Scientist - Energy Analytics - Renewable/Chemical/Power/Oil & Gas

- Strong proficiency in advanced statistical and machine learning techniques (random forest, support vector machines, neural networks, survival analysis, Bayesian statistics, etc).

- Demonstrated creative problem solving & critical reasoning abilities.

- Established ability to communicate effectively and proactively.

- Strong proficiency in SAS or R required.

- Should have considerable exposure to energy industries (Oil and Gas, Power, Energy transformation, Renewable and or Chemicals).

- Minimum education requirement of four year degree in statistics, computer science, mathematics, economics, or a similarly quantitative discipline. Additional education is preferred.