Data Scientist: Energy Analytics & Predictive Modeling

Socket.dev; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid time off

Job summary

IPT Global in Houston, TX seeks a data scientist to lead data analysis, modeling, and visualization across energy tech solutions. You will formulate problems, aggregate and clean data, and present insights to stakeholders, including senior management.

The role emphasizes experimental design, method development, and collaboration with cross-functional teams to advance well integrity analytics and predictive capabilities.

Qualifications

• Bachelor's or Master's degree in a quantitative discipline 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, modeling, visualization, and presentation for stakeholders.
• Develop and validate analysis methods using physics- and data-based models.
• Collaborate across teams and present findings to senior management.

Skills

Statistical analysis

Programming (Python/R/MATLAB)

SQL

TensorFlow/Keras

Education

Bachelor's or Master's in Mathematics/Statistics/Engineering/CS/Physics

Tools

R

Python

MATLAB

TensorFlow

Keras

Job description

IPT Global in Houston, TX seeks a data scientist to lead data analysis, modeling, and visualization across energy tech solutions. You will formulate problems, aggregate and clean data, and present insights to stakeholders, including senior management.

The role emphasizes experimental design, method development, and collaboration with cross-functional teams to advance well integrity analytics and predictive capabilities.