The Data Science and Analytics team is a growing group of energetic, passionate individuals working to improve and inform the organization through data. We work primarily with the drilling automation team to help design, evaluate, and improve novel drilling automation technology. Some example projects that we are applying analytics and data science to include: Modeling greenhouse gas emissions from the rig fleet to reduce environmental impact and improve reporting Generate analyses over drilling advisory systems to improve drilling efficiency and product utilization Developing automated monitoring, detection, and alerting of operational events The Drilling Data Analyst will help build next-generation drilling systems by: Analyzing data to forward our understanding of various drilling phenomena Creating and automating insightful reports that support commercialization and utilization Providing quality control checks against new and existing products Working directly with the product development team to understand key needs The candidate will be involved in all aspects of the project life cycle, including working directly with stakeholders, cleaning and analyzing data, generating and presenting visuals and reports, and providing quality control and support of commercial products. The ideal candidate would be a collaborator, possess advanced data analytics skills, be expert in working with large data sets in Python, and be able to communicate clearly with numerous stakeholders. This role is designed for early career candidates with an emphasis on training and development and performs under the general direction of a Lead Data Scientist.
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Job Type
Full-time
Career Level
Entry Level