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# Corporate Development Geologist / Data Scientist

- **Company:** Expand Energy Corporation
- **Location:** Spring, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, ArcGIS (Software), Microsoft Azure, Data Room, Python (Programming Language), Machine Learning, NumPy, Operational Databases, Power BI, Standard Sql, SciPy, SQL Databases, Tableau (Software), Cloud Platform System, Pandas, Scikit Learn, Build Tools, Machine Learning Operations, Spotfire, Data Pipelines
- **Published:** May 23, 2026
- **Apply:** https://www.juju.com/job/00000000g1tb65

## About the Role

+ 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

## **Education**

Minimum: Bachelor's degree \- from accredited university \- Geology, Geophysics, Petrophysics, Earth Science or related field

Preferred: Master's degree \- from accredited university \- Geology, Geophysics, Petrophysics, Earth Science or related field

## **Experience**

Minimum:

 + 8-12 years of experience in corporate development, exploration, reservoir characterization, or subsurface evaluation

## Description

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 \(e\.g\., pandas, NumPy, SciPy, scikit-learn\) 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


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