Expert,AI & Data Science Job Montréal area,Montreal East Province de Québec Canada,IT/Tech

Location: Montreal East

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 towards solving actual business matters

Comfortable working in and with a Jupyter like environment and infrastructure, and familiar with Git Hub, 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)
* * Any knowledge for any of the above would be considered as 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, Data Bricks

Expert, AI & Data Science