Job Description & How to Apply Below
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.
Main Responsibilities
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
Requirements
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
Education/Certification/Designation
Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
Technical Skills/Knowledge
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.
Assets
Experience with SAFe agile methodology and work in a fast‑paced environment
Having Azure or other cloud certifications, for example Azure Data Lake, Databricks
Equal Opportunity Employer
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.
Please monitor your email on a regular basis as communication to applicants is done via email.
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