Lead Data Scientist

Ample Insight Inc.; Toronto; On-site; CAD 120,000 - 190,000; Full time

Job summary

Ample Insight Inc. is seeking a Data Science Lead to guide clients through AI, analytics, and data-driven decisions.

You will partner with executive and technical teams to champion cross-domain projects and design end-to-end data pipelines that support business processes. You will mentor teams, drive data product strategies, and deliver measurable business impact through insightful analyses and scalable dashboards.

Qualifications

• BS (or higher) in CS, Engineering, Math, or Statistics.
• 3–7 years of commercial experience as a data science lead solving high impact business problems.
• 1+ years leading and maintaining high performance data science teams.
• Extensive experience using Python with solid OOP fundamentals.
• Experience building data pipelines and guiding ETL design decisions.
• Experience delivering business impact through data analysis and data products.
• Technical leadership and ability to code with peers.
• Experience creating data product strategies and iterating after launch.
• Strong prioritization and clear communication to technical and non-technical audiences.
• Working knowledge of Snowflake.
• DevOps experience is a plus.

Responsibilities

• Partner closely with clients' executive and technical teams to guide decisions on AI, analytics and data.
• Proactively identify and champion projects solving complex problems across domains.
• Apply data science methods to inform improvements to clients' businesses.
• Design and implement end-to-end data pipelines with stakeholders to support business processes.
• Empower internal and external teams to build KPIs, dashboards, and scalable data products.

Skills

Data science leadership

Cross-functional communication

Mentorship

Experiment design

Prioritization

Education

BS or higher in Computer Science, Engineering, Math, or Statistics

Tools

Python

Snowflake

ETL design

Data pipelines

DevOps

Job description

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