? Advanced degree in Applied Math, Physics, Petroleum Engineering, Geophysics or another quantitative field
? A minimum of 10years of data science related work, with at least 5years of subsurface modeling in O&G industry.
? Demonstrated experience in bringing complex and innovative data science products from ideation to production
? Ability to use scientific understanding of the physical world to constrain a problem space and arrive at optimal solutions quickly
? Expertise in geomodelling grids and geo-statistics methods with experience interpreting and analyzing seismic, well-logs, and core samples data
? Expertise in advanced data analytics, machine learning techniques, and first-principles rule-based analysis for creating high-resolution reservoir models. In depth understanding of well-established supervised and unsupervised learning techniques, model fitting, model evaluation, and expert level proficiency in using statistical analysis and machine learning software packages.
? PhD with industrialexperience in O&G vertical doing sub-surface and reservoir modeling
? Experience working with data and business analysts and software developers for developing software-as-a-service solution.