Junior Data Scientist, Petroleum Engineering & Well Integrity

Build early-career data science capabilities to support well integrity work focused on verifying safe well performance at IPT Global in Houston, TX (onsite).

Responsibilities

• Support analysis of well barrier assurance and verification data under direction from senior data scientists
• Assist with time series evaluation from well control equipment and help develop predictive maintenance models
• Apply physics-based and data-driven modeling to field and test data
• Learn to address noise and real-world test conditions while improving model reliability
• Identify trends, anomalies, and patterns in operational data
• Help build dashboards and KPIs for internal teams and clients
• Prepare and present findings to colleagues and stakeholders
• Contribute to technical documentation; as experience grows, support publications, conference presentations, and patent work

Requirements

• Bachelor’s degree completed or expected within six months in a related engineering or quantitative field
• Degree field options include: Petroleum, Mechanical, or other Engineering; or Mathematics, Statistics, Computer Science, Physics, or a related field
• Strong foundation in statistics, including regression, probability distributions, and sampling
• Some experience with Python, R, or MATLAB from coursework, internships, or personal projects
• No professional experience required

Technologies

• Python, R, MATLAB
• Azure
• Git

Bonus Points

• Coursework, internships, or field experience in oil and gas, especially drilling, completions, or well integrity
• Familiarity with well barrier concepts or standards such as NORSOK D-010, ISO 16530, API RP 90, or API Standard 53
• Experience working with sensor or time series data from instrumented equipment or lab testing
• Exposure to machine learning methods and model validation
• Familiarity with Azure or another cloud platform, plus Git
• Technical writing experience (example: thesis or capstone report)

Information will be kept confidential according to EEO guidelines.