Overview:**_ Responsibilities:_**- Strong problem-solving skills with an emphasis on product development.- Selecting features, building and optimizing machine learning techniques to improve theaccuracy of new products.- Analyse data for trends and patterns, understanding insight from data with a unbiassedmindset.- Implement different analytical methodologies to help solve various problems related tothe energy industry.- Close collaboration with software developers and machine learning engineers in theimplementation of analytical models into production or commercialization.- Develop and utilize algorithms to perform error analysis to improve model uniformity andaccuracy.- Communicate your findings to both technical and non-technical stakeholders.- Comfort working in a very dynamic, research-oriented team with several projects underconstruction in parallel.Required Qualifications:- Advanced degree in a highly quantitative field: Computer Science, Machine Learning,Geology, Statistics, Mathematics, etc.- Proficiency with data mining, knowledge of probability theory and advanced statisticaltechniques.- Experience with regression analysis (beyond linear regression), supervised learning,unsupervised learning or time-series analysis.- Experience with scientific scripting languages (e.G., Python, R, Matlab)- Experience accessing and manipulating data in SQL database environments.Effectively communicate with management, reservoir characterization teams,engineering teams, clients, and other stake holders.**_Preferred Qualifications:_**- Recent work or internship experience in an advanced data analytics role.- Experience with object-oriented programming (e.G., C#/C++, Java).- Knowledge of deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc.- Knowledge of the energy industry, understanding the different challenges and potentialsolutions