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Sr. Data Scientist

Linde Inc

The Woodlands, TX

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JOB DETAILS
JOB TYPE
Full-time
SKILLS
Artificial Intelligence (AI), Business Intelligence, Business Processes, Communication Skills, Computer Programming, Computer Science, Continuous Improvement, Cross-Functional, Data Analysis, Data Quality, Data Science, Data Visualization Tools, Database Design, Database Extract Transform and Load (ETL), Decision Support, Electrical Components, Electricity, Equipment Safety, Establish Priorities, Forecasting, Industrial Engineering, Leadership, Machine Learning, Market Research, Microsoft SharePoint, Microsoft Transact-SQL (T-SQL), Model Validation, Modeling Languages, Neural Networks, Operational Improvement, Operational Strategy, Operations Processes, Operations Research, Performance Metrics, Performance Tuning/Optimization, Power BI, Predictive Modeling, Principal Component Analysis (PCA) , Python Programming/Scripting Language, R Programming Language, RMON, Reliability Engineering, Reporting Dashboards, Risk Analysis, SQL (Structured Query Language), SQL Server Reporting Services (SSRS), Sales, Scalable System Development, Software Engineering, Statistical Modeling, Statistics, Stored Procedures, Storytelling, Supply Chain Operations, Systems Analysis, Tableau, Technical Leadership, Use Cases, Willing to Travel
LOCATION
The Woodlands, TX
POSTED
30+ days ago
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. The role will be part of the Digital Americas organization and will partner closely with the LGUS Equipment Health Center (EHC). Digital Americas is a multi-disciplinary technical team comprised of data scientists, software engineers, and operations research experts that serves Linde business units by creating analytics and decision support systems for challenges across operations, supply chain, reliability, and business processes. Linde's US EHC is an emerging team of specialized professionals dedicated to utilizing digital tools and advanced monitoring systems to assess equipment condition and identify operational risks. Data sources are varied, from machine component condition parameters to process operational outputs collected directly from the machinery real-time. You will work closely with software engineers and regional reliability teams as well as experts in the fields of rotating machinery, electrical equipment and process operations to architect solutions based on business requirements-spanning data extraction, statistical/ML and optimization modeling, and delivery through scalable applications and dashboards. Key Accountabilities: - Develop and maintain existing tools and KPIs of the EHC; support implementation in the field; stay abreast of new technology (including AI/ML and generative AI) and actively contribute ideas for new programs. - Collaborate with business partners and discipline experts (rotating, electrical, process, reliability) to understand requirements, prioritize use cases, and define appropriate technical solutions. - Lead technical development of advanced diagnostics, health analytics, and decision support tools-from data discovery/ETL through modeling, validation, and deployment. - Develop scalable data and analytics applications (e.g., MS-SQL/T-SQL, historian integrations, Tableau/Power BI) and create interactive dashboards and visualizations to communicate results. - Coordinate external data services and development with providers and conduct regular market research on remote monitoring and data analytics methods to continuously improve EHC efficiency and effectiveness. 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. About Linde: Linde is a leading global industrial gases and engineering company with 2025 sales of $34 billion. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet. Culture: At Linde, we strive to create a work environment that treats all employees with respect, supports new thoughts and ideas, encourages growth and development, celebrates our differences, and embraces inclusion. Linde is committed to remaining an employer of choice for the diverse, ever-increasing pool of global talent. For more information about the company and its products and services, please visit www.linde.com. Benefits: Linde Gases US offers competitive compensation and an outstanding benefits package. Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, 401(k) matching, pension benefits, an employee discount program, and opportunities for educational and professional growth. Additional compensation may vary depending on the position and organizational level. Build your future with us while making an impact every day! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law. #LI-PL1

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Linde Inc

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