Data Scientist

Chord Energy-posted 3 months ago
Hybrid • Houston, TX
501-1,000 employees
Oil and Gas Extraction
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The Chord Energy Data Scientist role is a technical individual contributor role, focused on supporting business opportunities through the use of exploratory data analytics, machine learning models and generative AI opportunities. This position is located in Downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience.

  • Leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems.
  • Focusing on production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations.
  • Contributing to the adoption of new technologies and best practices for analytical workflows.
  • Working well in a team and in support of core business functions.
  • Master's or Bachelor's degree in Data Science, Computer Science, or related field.
  • 5+ years in data science/ML (including time-series, geospatial, and predictive modeling).
  • Proven experience and/or education in data analytics and management of large datasets.
  • Proficiency in Python (pandas, scikit-learn) and SQL; experience with Azure ML/MLflow and deploying models to production.
  • Domain familiarity with upstream oil & gas workflows (subsurface and operations).
  • Strong interpersonal and collaborative skills.
  • Demonstrated ability to work in a team-oriented environment.
  • Excellent presentation skills.
  • Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company.
  • Strong coaching, prioritization, and stakeholder-management skills.
  • Ability to meet deadlines.
  • Physical mobility to work in a standard office setting and use standard office equipment.
  • Master's degree or PhD or certification in Data Science or Data Analytics.
  • Familiarity with additional programming languages (SQL, R, C++, etc.).
  • Previous Oil and Gas operator experience.
  • Exposure to Petroleum Engineering and Geoscience workflows.
  • Exposure to the energy sector, particularly unconventional exploitation programs.
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