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 general ~ Proactively identify and champion projects that solve complex problems across multiple domains ~ Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our clients' businesses ~ Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support our clients' business processes ~ Empower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products MS, or PhD) in Computer Science, Engineering, Math,



or Statistics ~3-7 years of commercial experience as a data science lead solving high impact business problems, including 1+ years leading and maintaining high performance data science teams ~ Extensive experience using Python including a robust grasp of object oriented programming (OOP) fundamentals ~ Experience building data pipelines and driving ETL design decisions ~ Experience delivering business impact through analysis and data products ~ Technical 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 peers ~ Experience creating data product strategies, shipping data products, iterating after launch, and trying again ~ Strong ability to prioritize and communicate to technical and non-technical audiences alike ~ Devops experiences a plus #

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