TPI Global Solutions

Engineering Analyst IV

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Engineering Analyst IV (Business Data & AI Specialist) on a 12-month hybrid contract in Houston, TX, or Calgary, AB, offering a competitive pay rate. Requires a Bachelor's degree, 6–8+ years in Data Science/AI, strong Python skills, and experience in the natural gas or energy sector.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Clustering #Model Deployment #Azure #Classification #SQL (Structured Query Language) #NLP (Natural Language Processing) #Monitoring #Documentation #Programming #Data Science #Regression #Computer Science #AI (Artificial Intelligence) #BI (Business Intelligence) #Deployment #ML (Machine Learning) #Mathematics #Automation #AWS (Amazon Web Services) #Security #Statistics #Scala #Compliance #GIT #Microsoft Power BI #Python #"ETL (Extract #Transform #Load)"
Role description
🚀 Business Data & AI Specialist – Engineering Analyst IV 📍 Houston, TX or Calgary, AB (Hybrid) 🏢 12-Month Contract with opportunity for extension 🏠 Hybrid Schedule: In-office Monday, Tuesday & Thursday | Remote Wednesday & Friday Are you passionate about applying Artificial Intelligence, Machine Learning, and advanced analytics to solve real-world operational challenges? We're looking for an experienced Business Data & AI Specialist to help transform how one of North America's leading natural gas transmission organizations leverages data to improve reliability, asset management, compliance, and operational decision-making. This is an opportunity to work directly with engineering, operations, asset management, integrity, reliability, and business leaders to develop practical AI solutions that create measurable business value—not just dashboards and reports. What You'll Do ✔ Partner with engineering, operations, reliability, integrity, records, and asset management teams to identify opportunities for AI, machine learning, and advanced analytics. ✔ Translate business challenges into scalable, data-driven solutions. ✔ Build and deploy machine learning models using Python for predictive analytics, classification, regression, clustering, and natural language processing. ✔ Develop Generative AI and Agentic AI solutions utilizing LLMs, prompt engineering, and workflow automation. ✔ Analyze structured and unstructured data to identify trends, operational risks, and opportunities for improvement. ✔ Design Power BI dashboards and business intelligence tools that support operational decision-making. ✔ Develop clean, maintainable Python code within Git repositories while following quality and security standards. ✔ Support model deployment, monitoring, documentation, and basic MLOps practices. ✔ Communicate technical findings clearly to both technical and non-technical stakeholders. What We're Looking For Required Qualifications ✅ Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field ✅ 6–8+ years of experience applying Data Science, Machine Learning, AI, or Advanced Analytics to solve business or operational problems ✅ Strong Python programming skills ✅ Experience with Machine Learning and Applied Statistics ✅ Experience translating business requirements into technical solutions ✅ Excellent communication and stakeholder engagement skills Preferred Experience ⭐ Generative AI ⭐ Large Language Models (LLMs) ⭐ Prompt Engineering ⭐ Agentic AI / AI Agents ⭐ SQL ⭐ Power BI ⭐ Azure (preferred), AWS, or GCP ⭐ Git ⭐ MLOps ⭐ Natural Gas, Utilities, Energy, Pipeline, or Industrial Operations ⭐ Engineering or Operational Analytics Why You'll Love This Opportunity ✔ Work on high-impact AI initiatives that directly improve critical energy infrastructure. ✔ Collaborate with engineers, operations leaders, and business stakeholders. ✔ Build production-ready AI solutions rather than proof-of-concept projects. ✔ Gain exposure to cutting-edge Generative AI and Agentic AI technologies. ✔ Join a collaborative team focused on innovation, operational excellence, and continuous improvement. Ideal Backgrounds We're especially interested in professionals with experience as: • Senior Data Scientist • Machine Learning Engineer • AI Engineer • Applied Data Scientist • Analytics Engineer • Data & AI Specialist • AI Solutions Engineer • Advanced Analytics Consultant • Digital Transformation Engineer • Operational Analytics Engineer • Reliability Analytics Engineer • Asset Performance Engineer Apply Today! If you're excited about using AI, Machine Learning, Generative AI, and data analytics to solve complex engineering and operational challenges within the energy industry, we'd love to hear from you.