Expert, AI & Data Science

Expert, AI & Data Science

At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long‑term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive 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

You will be part of a team that spans across all business domains. You will provide advanced analytical insights using data analysis and machine learning techniques. You will collaborate with teams across the company, exploring various data sources to help identify new opportunities while driving the adoption of AI. As an expert data scientist, you will combine your knowledge of machine learning and software development skills to automate model development, training, and deployment.

You will leverage your experience in building reusable algorithms, functions, and libraries to use in model development for predictive and prescriptive analytics.

• Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
• Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
• Influence how we approach business challenges and opportunities by driving the adoption of a data‑driven mindset
• Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices, and emerging tools/technology
• Collaborate on end‑to‑end automation efforts required to bring models to production
• Build and maintain a strong engagement with key stakeholders to understand business needs and priorities

• Experience in the application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques with hands‑on work experience
• 7‑8 or more years of hands‑on work and practical business experience in Machine Learning and AI, including classification, clustering, time series analysis, NLP, demand forecasting and optimization
• Excellent communication skills and capable of breaking down technical and complex concepts in a way that is understood by non‑technical audiences

• Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science

• Solid development experience with Python and comfortable using various data science libraries such as Scikit‑learn, Pandas, Num Py as well as frameworks like Tensor Flow, PyTorch, Keras and have applied these skills toward solving actual business matters
• Comfortable working in and with a Jupyter‑like environment and infrastructure, and familiar with Git Hub, Databricks
• Have advanced knowledge in SQL and Apache Spark, Google Vertex AI, Gemini, Microsoft Copilot, Databricks, Generative AI
• Expert level experience with at least one of the cloud computing platforms – Azure, AWS, GCP
• Familiar with Tableau and/or Power BI visual analytics purposes
• Well versed in software and AI development life cycles, including ML Ops
• Have agile experience and have a bias for action, removing blocks to get results fast
• Fluently bilingual both written and verbal (English, French).
• Any knowledge for any of the above would be considered an asset.

• Experience with SAFe agile methodology and work in a fast‑paced environment
• Having Azure or other cloud certifications, for example Azure Data Lake, Databricks

As an equal opportunity employer, qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law.

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