Data Scientist, Completions Analytics

About Corva

Corva has built a first-of-its-kind energy app store on a bedrock of best-in-class technologies, data pipelines, and a secure and scalable architecture. Our energy solutions solve today's toughest well delivery challenges, from well design through drillout. The ever-evolving platform is not only future-proof for digitizing operations but is your toolkit to accelerate sustainability and energy transition goals. Our platform is built for speed and reliability and delivers unmatched features and capabilities.

Corva is powering worldwide innovation by driving efficiency, productivity, and profitability with our innovative energy solutions.

Mission

Corva ’s mission is to accelerate the future of energy.

Values

Boldness : Corva nauts have the confidence and courage to question status quo for the products we make and the relationships we cultivate.

Own End-to-End : We take ownership of what we start and see it through to completion through trust and dependability.

Transparency : It's crucial to be open and honest and consistent with updates and data flow with customers and colleagues. We value the free-flowing of information and data to make better decisions.

Bias Action : Corva nauts don't sit still - our default mode is taking action! We make progress through high-quality iterations. Failure is built into the process and success is defined by the number of shots on goal.

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 ideal 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
• Tra