CAD $200,000 – $240,000 BASE + BONUS + BENEFITSThe OpportunityWe're partnering with a growing SaaS company at a pivotal moment in its AI evolution.They've leveraged traditional machine learning in the past — but are now formalizing a company-wide AI strategy, with recommendation systems and customer-facing ML at the center of the roadmap.This is about building and scaling production-grade ML systems that directly impact personalization, engagement, and revenue. You won't inherit a mature data science organization,you'll build it.What You'll Be Working OnBuild and scale customer-facing recommendation systems in productionDesign, develop, and deploy ML models across personalization, segmentation, churn prediction, and predictive analyticsArchitect scalable ML systems across cloud platforms (AWS/GCP/Azure)Partner cross-functionally with product, engineering, and leadership to translate business problems into end-to-end ML solutionsLead and grow a small team of data scientists (starting with 1 senior DS, hiring 2 more)Define data science operating models, standards, and best practicesSupport the evolution from traditional ML to modern GenAI applications (LLMs, embeddings, RAG, etc.)Stay hands-on (~40%)



while shaping long-term AI strategyWhat We're Looking For8+ years of experience in machine learning / data scienceExperience building and scaling recommendation systems in productionProven track record deploying ML models that serve real usersExperience leading and mentoring small data science teamsStrong Python and SQL skillsCloud ML platform experience (AWS, GCP, Azure, Databricks)Deep understanding of supervised/unsupervised learning, experimentation, and model evaluationComfort operating in ambiguity and building from scratchStrong communication skills across technical and non-technical audiencesSQLDatabricks (preferred)Big data frameworks (Spark, Hadoop)LLMs, embeddings, and vector searchModern MLOps and production deployment patternsWhy This RoleYou'll build and scale an AI function from the ground up — not just contribute to one.This is a true player‐coach chance where you:Own meaningful ML systems that shape customer experienceDefine how data science operates across the companyHire and mentor a high‐impact teamInfluence the AI roadmap at a strategic levelShip production systems — not prototypesIf you're looking for a role where you can combine deep technical ownership with team leadership and long-term AI strategy, this is that opportunity.#J-18808-Ljbffr

📌 Data Science Manager - C$200,000 - C$240,000 A Year (Toronto)
🏢 Harnham
📍 Toronto