Data scientist

As an expert, you will bring real technical added value to our clients. Your responsibilities will include: Advanced Modeling: Design, test, and deploy state-of-the-art Machine Learning / Deep Learning models to address clients’ strategic challenges. Data Valorization: Explore, clean, and structure large and complex datasets (Big Data) to extract actionable insights. MLOps: Collaborate with Data Engineers to automate, monitor, and deploy models into production in a robust and reliable manner. Advisory & Consulting: Act as a technical advisor to stakeholders, simplify complex AI concepts, and drive the adoption of a data-driven culture. Quality & Compliance: Ensure the quality, security, and compliance of developed models. Profil recherché: Profile: Experience: 5 to 10+ years of experience in Data Science, ideally in an industrial environment. Programming Languages & Ecosystem: Strong proficiency in Python (or R) and standard libraries/frameworks such as Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch. SQL Proficiency: Excellent ability to query both relational and non-relational databases. Data Visualization & Business Intelligence: Strong experience with BI tools, particularly Power BI (or Tableau, or Kibana), to design dashboards and visualize key performance indicators (KPIs) for decision-makers. Cloud & Big Data Environment: Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and tools such as Spark, Databricks, or Snowflake. MLOps: Good knowledge of version control tools (Git, Azure DevOps) and model tracking tools (MLflow, Kubeflow). Analytical Mindset & Communication: Demonstrated ability to translate business needs into mathematical/statistical problems and present results to non-technical teams. Education: Bachelor’s degree in Engineering, Computer Science, or equivalent experience MSc and/or PhD (an asset) A propos: About IT Link Joining IT Link means becoming part of a company that has been driven by embedded systems expertise for 40 years. Here, we do more than just code: we design critical systems with the rigor and know-how that define our reputation. We are currently looking for a passionate professional who prioritizes technical excellence to join our Montreal office (right next to McGill metro station). Why Choose IT Link? A Hub of Expertise: Join a highly skilled and experienced team. Learning & Development: We genuinely invest in your growth. Whether it’s obtaining certifications or deepening your technical expertise, we provide the resources to help you stay at the forefront of technology. The “Linker” Mindset: Act as a strategic advisor for clients and a technical pillar internally. Your expertise strengthens the team and shapes our technological reputation. We move forward together as a team, not individually. Culture & Work-Life Balance: We work hard on complex projects, but we also know how to unwind. Between coding sessions, enjoy our in-office board game nights to relax and challenge your strategic skills! Les plus de la vie chez IT Link: 4 weeks of paid vacation and 10 sick days Group health insurance from the first day worked 4% retirement savings contribution Personalized career management 2 weeks per year of teleworking in another country data

Design, test, and deploy advanced machine learning models to solve client challenges. Collaborate with data engineers to automate and monitor model deployment while ensuring quality and compliance.

Candidates should have 5 to 10+ years of experience in data science, preferably in an industrial setting. Strong proficiency in programming languages like Python or R, along with experience in cloud platforms and data visualization tools, is required.

• Paid Vacation • Sick Days • Health Insurance • Retirement Savings Contribution • Personalized Career Management • Teleworking

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Deep Learning
• Python
• R
• Pandas
• NumPy
• Scikit-Learn
• TensorFlow
• PyTorch
• SQL
• Power BI
• Tableau
• Kibana
• AWS
• Azure
• GCP

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

19 août 2026