The Chord Energy Data Scientist role is a technical individual contributor focused on supporting business opportunities through exploratory data analytics, machine learning models, and generative AI opportunities. This position is located in Downtown Houston, TX. Hybrid work schedule is available with remote work on Mondays and Fridays. Level and salary commensurate with experience.
Data Scientist
The primary responsibilities involve leading and participating in multi-disciplinary projects to provide business solutions across a range of areas, including production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision–aided operations. The Data Scientist will also contribute to adopting new technologies and best practices for analytical workflows. The ability to work well in a team and support core business functions is critical.
This job description is not an all-inclusive list of duties and responsibilities. Incumbents will be required to follow other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This role presents an exciting opportunity for a data scientist to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes.
Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Mid-Senior level
Full-time
Engineering and Information Technology
Oil and Gas