Specialist TIS Data Scientist​/ML Engineer

What You Will Do:

Partner with business stakeholders, engineers, and subject-matter experts to define complex problems, solution requirements, and measurable success criteria. Assess data and technical feasibility, identifying critical dependencies, risks, integration needs, and opportunities early in the solution lifecycle. Plan and lead analytical initiatives from discovery and proof of concept through minimum viable product, production deployment, and ongoing enhancement. Design, develop, validate, and operationalize statistical, machine learning, simulation, and optimization solutions that align with business and operational needs.

Apply strong software engineering, MLOps, and Responsible AI practices to create reproducible, maintainable, and supportable solutions. Provide technical direction while coordinating contributors, reviewing deliverables, and remaining actively involved in hands‑on development. Communicate analytical findings, assumptions, limitations, and evidence‑based recommendations in a way that supports informed decision‑making.

You have a degree in computer science, engineering, mathematics, statistics, operations research, data science, or a related quantitative discipline. You bring six or more years of related experience, including significant hands‑on experience delivering data science or machine learning solutions in business or operational environments. You have strong knowledge of statistics, machine learning, model validation, uncertainty assessment, and analytical interpretation. You are proficient in Python and SQL and have experience using established data science and machine learning libraries.

You have hands‑on experience with Databricks or a comparable enterprise platform, including Spark or PySpark, MLflow, and production-focused machine learning development. You have experience engineering, deploying, and managing reliable analytical solutions throughout their lifecycle, from discovery and experimentation through production and continuous improvement. You are skilled at learning complex subject areas, guiding multidisciplinary contributors, influencing technical decisions, and communicating recommendations clearly to technical and non‑technical audiences.

Able to travel throughout North America (US and Canada) for business purposes. Valid passport is required.

Forecasting, anomaly detection, predictive maintenance, optimization, simulation, physics-informed machine learning, computer vision, natural language processing, or generative AI. Midstream operations, pipelines, hydraulic modelling, industrial operations, asset management, or another physical asset-intensive environment. Working with operational time‑series data from SCADA, historians, sensors, or IoT systems. Combining engineering or physical-system knowledge with statistical or machine learning techniques. Providing technical guidance or mentorship within multidisciplinary delivery teams.

This role involves collaborative work with business stakeholders, engineers, subject‑matter experts, and multidisciplinary technical teams. You will balance technical leadership, delivery coordination, stakeholder engagement, and hands‑on solution development. The role requires working across iterative delivery stages, including discovery, proof of concept, minimum viable product, production, and ongoing enhancement.

• Grasping, kneeling, light – moderate lifting (objects up to 20 pounds), reaching above shoulder, repetitive motion, typing, sitting, standing, visual requirement (able to see screens, detect color coding, read fine print), hearing requirement and the ability to sit at a computer for long periods of…