Data Scientist – Energy Analytics & ML

IPT Global; Houston (TX); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Comprehensive benefits

401(k)

Paid time off

Job summary

IPT Global is seeking a data scientist to lead data analytics across the analytics lifecycle, applying physics-based and data-driven models to large well integrity datasets. You’ll collaborate with cross-functional teams, present findings to senior management, and help drive reliability and efficiency using IPT products.

Houston-based role with strong growth potential. Requirements include a quantitative degree and 3+ years in data-related work, alongside proficiency in R/Python, SQL, and ML

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: regression, linear and multivariate analysis, curve-fitting, sampling methods, descriptive statistics, probability distributions, stochastic models, confidence/risk analysis, optimization.
• Experience with statistical/numerical software (e.g., R, Python, MATLAB), database query languages (e.g., SQL), and data science toolkits (e.g., TensorFlow, Keras).

Responsibilities

• Perform data analysis across the data analysis process including problem formulation, data aggregation, transformation, cleaning, descriptive analysis, modeling, visualization, and presenting results.
• Design and execute research on data analytics, machine learning, and predictive modeling on large, complex data sets to inform stakeholders.
• Evaluate, improve, and invent analysis methods for IPT Global’s well integrity solutions.
• Collaborate with multiple teams and present findings to senior management.
• Analyze operational data to develop dashboards or visualizations that provide business value for internal and external clients.
• Document innovations and publish research as appropriate.

Skills

Data science

Python

R

SQL

Statistical analysis

Machine learning

Data visualization

Education

Bachelor's or Master’s degree in a quantitative discipline

Tools

TensorFlow

Keras

MATLAB

Azure

Job description

IPT Global is seeking a data scientist to lead data analytics across the analytics lifecycle, applying physics-based and data-driven models to large well integrity datasets. You’ll collaborate with cross-functional teams, present findings to senior management, and help drive reliability and efficiency using IPT products.

Houston-based role with strong growth potential. Requirements include a quantitative degree and 3+ years in data-related work, alongside proficiency in R/Python, SQL, and ML