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: Corvanauts 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: Corvanauts 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
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
Participate in code reviews and contribute to shared codebases
Collaborate with software engineers to integrate analytical solutions into customer-facing products

Collaboration & Business Impact

Work closely with completions engineers, product managers, and software teams to define requirements and deliver solutions
Communicate analytical findings clearly to technical and non-technical stakeholders
Support customers and internal teams in understanding operational trends and performance drivers
Identify opportunities to improve operational efficiency, reduce costs, and increase asset performance
Document methodologies,

Data Scientist, Completions Analytics at Corva