Data Scientist

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

Company 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 Employment Type: Full-time, flexible schedule Compensation: Competitive compensation commensurate 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.