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Data Science Manager (Recommendation Systems)Remote (Canada)$180,000 – $240,000 CAD base + equity + benefitsAbout the CompanyThis organization builds widely used collaborative software that helps distributed teams plan, design, and execute complex work together. The platform supports millions of users who rely on it to organize ideas, coordinate projects, and make decisions more effectively.Engineering teams operate in small, autonomous groups that own meaningful product outcomes. The culture emphasizes practical problem solving, thoughtful experimentation, and systems that deliver measurable value to users.Data science plays a central role in shaping how users discover content, navigate workflows, and extract value from the platform. Machine learning systems directly influence user engagement, retention, and overall product growth.About the RoleThis is a hands‐on leadership role responsible for building and evolving the machine learning systems that power personalized experiences across the product.You will lead a small team of data scientists while remaining actively involved in system design, model development, and production deployment. A primary focus of the role is the development and scaling of recommendation systems that help users discover relevant content, workflows, and collaboration opportunities.You will partner closely with product, engineering, and business teams to identify high‐impact opportunities where recommendation models and predictive systems can improve user experience and drive measurable business outcomes.Success in this role will be defined by the performance of deployed systems — particularly recommendation models that improve discovery, engagement, and retention across a large user base.Key ResponsibilitiesDesign and deploy production recommendation systems that personalize product experiences for usersLead development of machine learning models that improve content discovery, engagement, and user retentionArchitect scalable pipelines for feature generation,



model training, evaluation, and deploymentEstablish clear success metrics for recommendation models and continuously improve system performanceHire, mentor, and develop a small team of data scientists focused on applied product impactPartner with product and engineering teams to identify opportunities where recommendation systems can drive measurable improvements in user experienceBuild experimentation frameworks to evaluate ranking strategies and recommendation effectivenessGuide the evolution of recommendation architecture as the product and user base continue to scaleMust Haves6+ years building and deploying machine learning systems in production environments2+ years leading or managing data scientists or machine learning engineersDemonstrated experience developing recommendation systems at scaleStrong Python expertise and experience building production ML pipelinesExperience with ranking models, collaborative filtering, or similar recommendation techniquesExperience translating product or business problems into measurable ML solutionsStrong understanding of the full ML lifecycle including feature engineering, training, deployment, and monitoringNice to HaveExperience designing experimentation platforms or evaluating ranking algorithmsBackground in user behavior modeling, personalization, or search rankingExperience working with large-scale product datasets or distributed data platformsFamiliarity with production backend systems or modern software engineering practicesWhy JoinOwn the recommendation systems that shape how users discover and interact with the productLead a high‐impact data science team solving complex personalization challengesWork closely with product and engineering leaders to shape the future of machine learning within the platformOpportunity to influence systems used by millions of users globallyCompetitive compensation, equity participation, and comprehensive benefitsRemote‐first culture across Canada with robust technical standards and a collaborative engineering environment#J-18808-Ljbffr

Apply on Kit Job: kitjob.ca/job/2g944h

📌 Ads Marketplace Data Science Manager: Innovate And Inspire - Remote (Toronto)
🏢 Harnham
📍 Toronto