Data Scientist - Energy Analytics & Predictive Modeling

IPT Global; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

IPT Global in Houston seeks a data scientist to lead rigorous data analysis and modeling across well integrity and energy technology projects. You will formulate problems, aggregate data, and build models to derive actionable insights for stakeholders.

You will collaborate across teams, publish findings, develop dashboards, and help advance our AI-driven solutions. A strong background in statistics, ML, Python/R, and cloud familiarity, plus 3 years of experience, is expected.

Qualifications

• Degree in quantitative field with demonstrated research capability.
• 3 years of direct work experience in a data-related field.
• Proficiency in statistical/numerical analysis concepts and methods.

Responsibilities

• Perform data analysis through problem formulation, data preparation, modeling and visualization.
• Develop and validate analysis methods using physics- and data-based models for well integrity data.
• Collaborate with teams and present findings to senior management and stakeholders.
• Create KPIs, dashboards and visualizations to drive business value for clients.
• Document innovations and contribute to publications or conference presentations.

Skills

Statistical analysis

Data science

Python

R

SQL

MATLAB

TensorFlow

Keras

Machine learning

Education

Bachelor's or Master's degree in quantitative field

Tools

Azure

C#

Containers

Job description

IPT Global in Houston seeks a data scientist to lead rigorous data analysis and modeling across well integrity and energy technology projects. You will formulate problems, aggregate data, and build models to derive actionable insights for stakeholders.

You will collaborate across teams, publish findings, develop dashboards, and help advance our AI-driven solutions. A strong background in statistics, ML, Python/R, and cloud familiarity, plus 3 years of experience, is expected.