Introduction

What are you going to do

Introduction

Brunel is currently seeking a Full Stack Data Scientist for a leading Chemical Manufacturing client in Calgary, Alberta. This is an exciting opportunity to join a forward-thinking Digital Factory team that is driving digitalization efforts across key value streams, including Integrated Value Chain, Reliability, Maintenance & Turnaround, and Quality & Commercial Excellence.

In this role, you will develop and deploy advanced analytics solutions that optimize decision-making and enhance operational performance. From predictive maintenance and rail optimization to digital manufacturing and GenAI-driven knowledge management, you will work on a variety of impactful initiatives that shape the future of the industry.

If you thrive in an agile, fast-paced environment and have a strong foundation in Python, machine learning, and cloud-based analytics, this is your chance to contribute to a cutting-edge digital transformation.

Responsibilities

Solution Development

Translate business requirements into technical hypotheses and execute proof-of-concept (PoC) initiatives
Develop and refine advanced analytics models, including forecasting, optimization, and GenAI

Deploy scalable, production-ready solutions on Databricks
Apply software engineering best practices, including version control and robust documentation

Monitor and maintain production data science solutions, ensuring performance and reliability
Address issues such as model drift and data pipeline failures
Act as the primary interface between IT and the digital factory team to address sustainment needs

Collaborate with technical and product teams to define requirements and deploy solutions
Present clear, actionable insights for technical and non-technical audiences
Translate complex data science outputs into business recommendations

Requirements

Bachelor's, MSc, or PhD in engineering, computer science, or related fields (chemical or mechanical engineering preferred)
Proficiency in Python and related data science libraries
Strong foundation in data science, including machine learning, large language models, optimization, and statistics
2-6 years of practical experience in data science solution development
Experience in the full data science lifecycle from PoC to deployment
Familiarity with cloud platforms and tools for scalable deployments (Databricks, MLflow, Apache Spark)
Expertise in monitoring and maintaining production systems, resolving model drift, and improving performance monitoring
Proficiency in version control tools and best practices (Git, branching, merging)
Strong problem-solving skills and adaptability in tackling ambiguous challenges
Effective communication skills to present findings to diverse stakeholders
Experience working in agile environments and managing workloads within sprints

Essential skills and knowledge

What We Offer

Why work with Brunel? We are proud to offer exciting career opportunities from over 100 offices globally in 42 countries. Advancing your career takes time and effort - let us match you to your ideal position.

What we offer

About Us

Brunel has a reputation for working with some of the best in the business. That's what we continually strive for. Brunel provides the global recruitment and workforce services you need to lead your industry. With 45 years of market experience in Renewable Energy, Automotive, Oil & Gas, Life Sciences, Mining and Infrastructure, we help you finish major projects safely, compliantly, on-time, within budget and at the highest quality, so you can keep growing - anywhere in the world.