Independent oil and gas producer with emerging data science and automation infrastructure
Chord Energy operates unconventional onshore assets in the Bakken and Three Forks plays. The tech stack reveals a traditional industrial-control foundation (Allen-Bradley PLC, DCS) layered with modern data and AI tooling (Python, scikit-learn, Azure ML, Databricks, OpenAI) — a pattern typical of upstream operators mid-transformation. Active hiring across data, engineering, and ops roles, combined with projects spanning production automation, drilling optimization, and model lifecycle management, signals investment in operational efficiency through analytics rather than new exploration.
Notable leadership hires: Innovation Director
Chord Energy is a publicly traded independent oil and gas company headquartered in Houston, Texas, with 501–1,000 employees. The company focuses on exploration, development, production, and acquisition of crude oil, NGLs, and natural gas from top-tier assets in North Dakota and Montana. Operations center on the Bakken and Three Forks unconventional plays. Chord emphasizes capital discipline, safe operations, and continuous improvement in resource extraction and field management.
Chord uses industrial controls (Allen-Bradley PLC, DCS), enterprise infrastructure (Windows Server, Active Directory, Azure), and data platforms (Snowflake, Python, pandas, scikit-learn, Databricks, Azure ML, Apache Airflow). They also employ OpenAI, Power BI, and Spotfire for analytics and reporting.
Key initiatives include production automation optimization, drilling and completion process optimization, data science and AI stack deployment, automated data flows, security operations automation, and dashboard generation. Pain points center on automation, drilling efficiency, and regulatory compliance.
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