Expert, AI & Data Science

Canadian National Railway Company • Montreal, QC

6d

About The Position

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.

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
• 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, NumPy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
• Comfortable working in and with a Jupyter like environment and infrastructure, and familiar with GitHub, Data bricks
• Have advanced knowledge in SQL and Apache Spark, Google VertexAI, 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 lifecycles, 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)

Nice To Haves

• Experience with SAFe agile methodology and work in a fast-paced environment
• Having Azure or other cloud certifications, For example Azure Data Lake, Data Bricks

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior