Data Scientist

• Research and assess next-generation technologies for data-driven solutions in subsurface resources exploration and production
• Generate innovative ideas, establish new research directions, and shape and execute on technical projects
• Apply theoretical knowledge to solve industrial problems
• Apply engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization
• Work with business and engineering teams to implement robust and scalable industrial software solutions
• Maintain state-of-the-art knowledge and contributes to technical discussions and reviews as an expert in related areas of responsibility
• Communicate ideas, plans, and results effectively via oral and written reports - Works effectively with peers, management, operations groups, and outside organizations
• Participate in technical forums and other appropriate events and conferences

Qualifications And Experience

Essential qualifications:

• Years of experience required: 5+ years of relevant experience
• Bachelor’s or Master’s degree in computer science, mathematics, physics, applied science, engineering or similar disciplines with demonstrated research capability.
• Demonstrated experience in developing core machine learning algorithms in professional research and development settings.
• Strong background in some of these listed areas: machine learning, time series analysis / sensor processing, deep learning, optimization/operations research, text analytics/NLP, computer vision
• Demonstrated experience in building and applying machine learning / predictive modelling in real-world use cases.
• Excellent communication, verbal and written skills

Preferred Qualifications

• Excellent knowledge of developing deep learning models using tools such as TensorFlow, Keras, Pytorch, etc.
• Understanding and past experience of Oil and Gas domain is a plus
• Experience working with, processing and managing large data sets (multi TB scale) is preferred
• Track records of past publications in relevant topics
• Immediate availability is an advantage
• Ability in designing distributed and parallelized algorithms