The Woodlands, TX30+ days ago
Qualifications: Basic: - Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Operations Research, or a related field with a specialization in data science/analytics (degree must be from an accredited institution or equivalent) - 5+ years of relevant industry experience developing analytics, predictive technologies, or decision support tools - Experience formulating and solving optimization, machine learning, forecasting, and/or statistical modeling problems (e.g., regression, segmentation, survival analysis, PCA, neural networks) - Strong programming skills in Python (and/or R) and proficiency with SQL (MS/T-SQL); ability to work with databases, stored procedures, and data quality/ETL concepts - Excellent communication and data storytelling skills; ability to succinctly convey complex solutions to stakeholders and executive leadership; willingness to travel domestically as needed Preferred: - PhD degree in Statistics, Operations Research, Computer Science, Engineering, or related quantitative field - Experience with industrial data sources (e.g., plant-wide historians such as GE Proficy) and/or operations and reliability use cases - Experience designing and using databases, performance tuning, and building scalable data/BI solutions (SharePoint development a plus) - Experience with data visualization and dashboard tools (e.g., Tableau, Power BI, SSRS, D3) - Experience working with Large Language Models (LLMs) / generative AI technologies and deploying ML/AI solutions into production. Position Qualification Summary: This is a unique opportunity to collaborate with a diverse team of technical and subject-matter experts to convert large amounts of data into actionable insights and deliver analytics, diagnostics, and decision support tools that improve operational reliability, efficiency, maintenance, total lifetime cost, and safety of plant equipment.