Description

We are seeking a highly skilled and experienced Senior Data Scientist with expertise in oil and gas exploration and production (E& P). The ideal candidate will leverage advanced analytics, machine learning, and statistical modeling to drive data-driven decision-making in E& P operations. You will collaborate with geoscientists, engineers, and other stakeholders to optimize exploration strategies, reservoir management, and production efficiency.

Key Responsibilities

• Data Analysis & Modeling:

• Analyze geological, geophysical, and production data to uncover actionable insights.

• Develop predictive models to assess reservoir performance and optimize drilling operations.

• Implement machine learning algorithms for seismic interpretation, well log analysis, and production forecasting.

• Optimization & Efficiency:

• Design and implement data-driven strategies to improve production rates and reduce operational costs.

• Apply statistical methods and optimization techniques to enhance field development plans.

• Collaboration & Communication:

• Work closely with multidisciplinary teams, including geologists, reservoir engineers, and drilling experts, to integrate data science solutions into E& P workflows.

• Present findings, visualizations, and recommendations to technical and non-technical stakeholders.

• Data Management & Integration:

• Process and integrate large, complex datasets, including seismic data, well logs, and production metrics.

• Ensure data quality, consistency, and availability for analysis.

• Innovation & Research:

• Stay updated on industry trends, emerging technologies, and advancements in data science applicable to oil and gas.

• Drive innovation by identifying new applications for data science in exploration and production.

  Requirements

Qualifications

• Education:

• Master’s or Ph.D. in Data Science, Geophysics, Petroleum Engineering, Computer Science, or a related field.

• Experience:

• Minimum 7+ years of experience in data science with at least 3+ years in oil and gas exploration and production.

• Hands-on experience with subsurface data (seismic, well logs, reservoir models) and production data analytics.

• Technical Skills:

• Proficiency in programming languages such as Python, R, or MATLAB.

• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

• Strong knowledge of statistical methods, predictive modeling, and optimization techniques.

• Experience with visualization tools (e.g., Power BI, Tableau, D3.js).

• Familiarity with E& P-specific software and tools (e.g., Petrel, Eclipse, Techlog).

• Soft Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and presentation abilities.

• Ability to work in a team-oriented, cross-disciplinary environment.

Preferred Qualifications

• Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud).

• Knowledge of artificial intelligence applications in subsurface analysis.

• Experience with real-time data streaming and IoT applications in oil and gas operations.

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