Corporate Development Geologist​/Data Scientist

Position: Corporate Development Geologist / Data Scientist
Location: Spring

Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.

Job Summary

The Corporate Development Geologist plays a critical role in evaluating and advancing the company's strategic growth initiatives by integrating geoscience expertise with advanced data analytics. This position supports mergers and acquisitions (M&A), asset evaluations, portfolio optimization, and new‑venture screening across the energy value chain. 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.

Job Duties & Responsibilities

* Perform geological assessments of prospective acquisitions, divestitures, and joint ventures across conventional, unconventional, and emerging resource plays

* Develop basin and play‑level evaluations to support long‑term corporate strategy and target screening

* Build geological risk assessments and volumetric estimates to support valuations and economic modeling

* Provide technical inputs for M&A financial models, including production forecasts, decline curves, type curves, reserves, and value‑impact drivers

* Collaborate with Corporate Development, Finance, Reservoir Engineering, and Data Science teams to synthesize geological insights into investment recommendations

* Participate in diligence processes, including technical deep dives, data room reviews, and management team discussions

* Prepare executive‑level presentations summarizing the geologic rationale and value proposition of strategic opportunities

* Interpret and integrate subsurface datasets (well logs, cores, seismic, production data, geochemistry) to assess reservoir quality, productivity, and uncertainty

* Use Python, SQL, and analytics libraries (e.g., pandas, Num Py, Sci Py, scikit‑learn) to automate workflows, analyze datasets, and build predictive models

* Apply machine learning techniques to streamline technical and financial valuations

* Build tools and dashboards using Power BI, Spotfire, or similar platforms to visualize geological, engineering, commercial and public datasets

* Integrate large geospatial datasets (GIS layers, satellite imagery, digital elevation models) to support valuation and regional assessments

* Partner with engineering and operations to evaluate development scenarios, spacing/stacking potential, and reservoir performance

* Contribute to strategy initiatives such as CCUS site screening, geothermal feasibility, critical minerals potential, or energy transition subsurface evaluations

Job Specific Skills

* 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…