Join our hands-on, practical team where we build solutions that make a real impact. We're not just model builders—we're problem-solvers who partner closely with colleagues across the business. You'll build and deploy statistical and machine learning models using SAS, Python, and SQL, design AI-driven solutions to tackle complex challenges, and own the full data lifecycle from discovery to analysis. Working primarily in AWS and SAS Viya environments, you'll create clear visualizations and dashboards to communicate your findings and drive decision-making. We're looking for someone with strong practical experience in SAS, Python, and SQL, backed by an advanced degree (Honours, Master's, or PhD) in a quantitative field. You'll need deep theoretical understanding of statistics and modeling—not just how to run models, but why you choose them. Your proven track record should include building and deploying ML models, strong data wrangling skills, familiarity with cloud platforms like AWS and large-scale environments like SAS Viya, and experience using visualization tools to tell compelling data stories. Our culture thrives on curiosity, partnership, and ownership. We want team players who are hungry to learn, treat mistakes as learning opportunities, and genuinely enjoy solving difficult problems. You'll work closely with colleagues to understand their needs before writing code, own your work from start to finish, actively share knowledge, and celebrate wins together. If you're intensely curious, love digging into complex problems, and find satisfaction in the work itself—not just the final result—you'll fit right in with our team.