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
QualificationsREQUIREMENTS- 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.
