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Lead Data Scientist

Job in Toronto, Ontario, C6A, Canada
Listing for: Ample Insight Inc.
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CAD Yearly CAD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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

Qualifications

  • BS (or higher, e.g., 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 strong 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
  • Working knowledge of Snowflake
  • Devops experiences a plus
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