Data Scientist

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

At IPT Global, we’re pioneers in providing innovative digital solutions for well integrity assurance and energy technology. Our mission is to empower operators with the data, tools, and insights they need to ensure safer, more reliable operations.

We combine deep domain expertise with cutting-edge software development to deliver high-quality applications and platforms that enhance performance, safety, and efficiency across the energy lifecycle. Our teams collaborate across disciplines, embracing creativity, accountability, and continuous learning to drive technological progress and deliver lasting value to our customers.

If you want to work in an environment that values growth, innovation, and teamwork — we’d love to meet you.

Job Description

• Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization, presentation, productizing)
• Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key stakeholders
• Evaluate, improve, and invent analysis methods to be used in IPT Global’s suite of well integrity solutions
• Develop and validate proposed analysis methods through the application of physics-based and data-based models to industry component data sets, apply variances to account for test environment effects and signal noise to gauge algorithm performance and robustness
• Collaborate with multiple teams and present findings, prototypes, and recommendations periodically to multiple levels of stakeholders, including to senior management
• Leverage existing data sets to improve/invent analysis methods and solutions by performing data analysis on large sets of data identifying trends, patterns, anomalies, clusters, and insights in a continual advancement of our state-of-the-art
• Perform statistical analysis of field and simulated data to provide reliability insights, confidence levels, and risk assessments
• Support Business Development through projects evaluating client/prospect data and potential improvements in reliability and efficiency using IPT products
• Analyze operational data, create KPIs, and develop dashboards or visualizations that drive action and provide business value for internal and external clients
• Participate in technical document generation and research publication writing, and present research at national/international conferences and forums in fields related to the role
• Document innovations in the consideration and protection of Intellectual Property (e.g., patent applications, trade secrets)
• All other assigned duties

Qualifications

REQUIREMENTS

• Bachelor's or Master’s degree in a quantitative discipline (e.g., Mathematics, Statistics, Engineering, Computer Science, Physics, Applied Science) or related 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)

PREFERRED SKILLS

• 5+ years of relevant work experience, including expertise with statistical data analysis
• Proficiency in implementing machine learning and deep learning techniques and algorithms (e.g., KNN, Naïve Bayes, SVM, Decision Forest, RandomForest, Gradient Boosting, CNN) and applying model validation concepts
• Experience in predictive and prescriptive modeling, including model training and validation
• Familiarity with Azure, or other cloud computing services (AWS, Google Cloud, etc.)
• Familiarity with C#, virtual machines / containers
• History of generating technical documents and publications
• Experience in the oil and gas industry, especially operations, and understanding of industry common terminology

Additional Information

Location: Houston, Texas

Compensation: Competitive compensationcommensurate with experience, plus comprehensive benefits (medical, dental, vision, 401(k), paid time off).

Work Environment: Collaborative and innovative team culture focused on continuous improvement and professional growth.

Join IPT Global and help us shape the next generation of software that supports the energy industry’s drive toward safety, efficiency, and innovation.

Job Location