Engineering Analyst IV
Listed on 2026-08-22
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst, Data Scientist
Business Data & AI Specialist – Engineering Analyst IV
Houston, TX or Calgary, AB (Hybrid)
12-Month Contract with opportunity for extension
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.
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
- Experience with Machine Learning and Applied Statistics
- Experience translating business requirements into technical solutions
- Excellent communication and stakeholder engagement skills
- Natural Gas, Utilities, Energy, Pipeline, or Industrial Operations
- Engineering or Operational Analytics
- 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.
We're especially interested in professionals with experience as:
- Senior Data Scientist
- Machine Learning Engineer
- Applied Data Scientist
- Data & AI Specialist
- AI Solutions Engineer
- Advanced Analytics Consultant
- Digital Transformation Engineer
- Operational Analytics Engineer
- Reliability Analytics Engineer
- Asset Performance Engineer
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