Specialist - Data Science

at  Canadian National Railway

At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!..

JOB SUMMARY

The Data Scientist Specialist is responsible for collaborating with functional and cross-functional teams to identify and prioritize business problems that can be addressed through data science methodologies. The role utilizes advanced analytics techniques to extract insights from complex datasets, develop scalable machine learning pipelines, and design end-to-end data science solutions aligned with business objectives. Additionally, the incumbent communicates findings effectively to both technical and non-technical stakeholders while continuously experimenting and iterating on models to ensure accuracy and robustness. Staying current with advancements in the field, the incumbent proactively seeks opportunities to apply emerging techniques for innovative problem-solving.

REQUIREMENTS

Experience

Technical Development and Implementation

• Utilize advanced analytics techniques to extract insights from large, complex datasets and develop predictive models to support decision-making processes
• Develop and maintain scalable machine learning pipelines using Python, PySpark, and other relevant tools and frameworks
• Design and implement end-to-end data science solutions, from data collection and preprocessing to model development and deployment, ensuring alignment with business objectives and requirements
• Take ownership of projects and provide end-to-end solutions, from initial problem definition to model deployment and monitoring

Collaboration and Communication

• Collaborate with cross-functional teams to identify and prioritize business problems that can be solved using data science methodologies
• Communicate findings and insights effectively to technical and non-technical stakeholders through clear visualizations, presentations, and reports
• Work closely with Data Engineers to optimize data infrastructure and ensure the availability and reliability of data for analysis, identifying opportunities for improvement and optimization

Experimentation and Continuous Improvement

• Conduct thorough experimentation and evaluation of machine learning models to ensure robustness, accuracy, and generalization, iterating as necessary to achieve desired outcomes
• Demonstrate a hands-on approach to problem-solving, leveraging technical expertise and creativity to overcome challenges and deliver innovative solutions
• Stay current with the latest advancements in data science and technology, and proactively identify opportunities to apply emerging techniques to solve business challenges, driving continuous improvement and innovation

Working Conditions
The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.