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Job Details

Data Scientist

  2025-12-01     Chord Energy     Houston,TX  
Description:

Overview

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.

Job Title

Data Scientist

Essential Job Functions

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.

Minimum Qualifications

  • 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) and the ability to translate expert knowledge into features and experiments
  • 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
  • Strong coaching, prioritization, and stakeholder-management skills; ability to convert business problems into robust, scalable model solutions and communicate outcomes clearly
  • Ability to meet deadlines
  • Physical requirements and working conditions: mobility to work in a standard office setting, use standard office equipment (computer), stamina to maintain attention to detail despite interruptions, ability to lift and carry files up to 10 pounds; vision to read printed materials and a computer screen; hearing and speech to communicate in person and over the phone

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.

Preferred Qualifications

  • 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

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.

EEO Statement

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Oil and Gas

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