About the role
- We are seeking a Senior Data Scientist to support the research, development, and deployment of
- advanced analytics solutions for hydraulic fracturing, completions, and production operations.
- This role focuses on applying data analysis, statistical modeling, physics-informed approaches,
- and software development to solve complex operational challenges. The idóneo candidate
- combines strong Python programming skills with a deep understanding of oilfield operations,
- particularly completions and hydraulic fracturing.
- You will work closely with engineers, domain experts, and software developers to transform
- operational data into scalable tools, workflows, and decision-support applications that improve
- efficiency, reliability, and performance across customer operations.

What you'll do
Analytics & Applied Research
- Analyze large-scale operational datasets from completions, hydraulic fracturing, and production operations
- Develop statistical, physics-based, empirical, and data-driven models to improve operational understanding and decision making




- Conduct applied research focused on frac performance, pumping efficiency, equipment reliability, pressure analysis, and operational optimization
- Design and execute studies to identify key drivers of operational performance
- Develop algorithms and workflows for anomaly detection, forecasting, diagnostics, and optimization
- Translate engineering problems into analytical solutions that provide measurable business value
- Validate models and recommendations using field data and operational feedback

Software Development & Data Engineering
- Design, develop, and maintain production-quality Python applications and analytics tools
- Build scalable data processing pipelines for structured and time-series datasets
- Develop reusable software components, libraries, and APIs supporting analytics workflows
- Write clean, maintainable, and well-tested code following software engineering best practices
- Par

📌 Data Scientist, Completions Analytics (Buenos Aires)
🏢 Corva
📍 Buenos Aires