We are looking for a Data Science Lead who will:Partner closely with our clients' executive and technical teams to guide their decisions relating to AI, analytics, data engineering and data in generalProactively identify and champion projects that solve complex problems across multiple domainsApply specialized skills and fundamental data science methods (e.G. experimental design, recommender systems and machine learning when needed) to inform improvements to our clients' businessesDesign and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support our clients' business processesEmpower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data productsQualificationsBS (or higher, e.G., MS, or PhD) in Computer Science, Engineering, Math,



or Statistics3-7 years of commercial experience as a data science lead solving high impact business problems, including 1+ years leading and maintaining high performance data science teamsExtensive experience using Python including a robust grasp of object oriented programming (OOP) fundamentalsExperience building data pipelines and driving ETL design decisionsExperience delivering business impact through analysis and data productsTechnical leadership and management experience where you can jump into the code to the level that your peers admire and respect, and are also interested in helping mentor your peersExperience creating data product strategies, shipping data products, iterating after launch, and trying againStrong ability to prioritize and communicate to technical and non-technical audiences alikeWorking knowledge of SnowflakeDevops experiences a plus

📌 Lead Data Scientist (Toronto)
🏢 Ample Insight
📍 Toronto