Strong technical proficiency with geological software (e.g., Petrel, Kingdom, ArcGIS, Petra) • Hands‑on experience with Python for data analysis, automation, or modeling • Familiarity with statistical analysis, uncertainty quantification, and machine learning workflows • Ability to integrate geoscience insights with economic and commercial perspectives • Strong communication skills with experience presenting to executives or non‑technical audiences • Ability to work across functions in a fast‑pace, deal‑oriented environment • Experience supporting M&A, corporate development, or asset A&D evaluations • Knowledge of SQL, cloud environments (Azure, AWS), and modern data pipelines • Experience building dashboards (Power BI, Spotfire, Tableau) • Background in unconventional reservoir evaluation, CCUS, geothermal, or emerging energy systems • Familiarity with decline curve analysis, type curve generation, and integration of geologic inputs into financial models. The ideal candidate brings strong subsurface interpretation skills combined with the ability to leverage modern data science tools-including Python, machine learning workflows, and large‑scale geospatial analysis-to generate actionable insights for investment decisions.