Data Scientist, Completions Analytics

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, assumptions, and analytical workflows

Qualifications
Education & Experience

• Master's or PhD in Petroleum Engineering, Data Science, Statistics, Applied Mathematics, Engineering, Computer Science, or a related quantitative field
• 5+ years of experience in data science, analytics, engineering research, or software development
• Experience working with oil and gas operational data
• Strong preference for candidates with completions, hydraulic fracturing, stimulation, or production optimization experience
• Experience delivering analytical solutions that drive measurable operational improvements

Technical Skills

• Strong Python programming skills with experience developing production-quality software
• Experience with scientific computing and data analysis libraries such as Pandas, NumPy, SciPy, and scikit-learn
• Strong SQL and database experience
• Experience working with time-series data and large operational datasets
• Knowledge of statistical analysis, predictive modeling, and experimental design
• Experience developing optimization, forecasting, or diagnostic workflows
• Familiarity with software development best practices, version control, testing, and code reviews

Oil & Gas Domain Expertise

• Strong understanding of hydraulic fracturing and completions operations
• Knowledge of frac equipment, pumping operations, pressure analysis, treatment design, and operational KPIs
• Experience analyzing frac, wireline, production, or well-performance datasets
• Ability to identify operational anomalies, inefficiencies, and root causes from field data
• Understanding of operational workflows and engineering decision-making processes

Preferred Qualifications

• Experience with real-time operational data systems
• Familiarity with cloud environments and data platforms
• Experience with machine learning applications for forecasting, classification, or anomaly detection
• Familiarity with geoscience, production, or reservoir engineering datasets
• Experience publishing technical papers, patents, or industry presentations

Professional Skills

• Strong analytical thinking and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to work independently and manage multiple projects simultaneously
• Effective collaboration within multidisciplinary teams
• Ability to balance technical rigor with practical business needs
• Strong organizational and documentation skills