Lead Data Scientist

Toronto, ONHybridFull TimeLeadPosted 1 month agoHidden Gem · Himalayas

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Required skills

Data Science Lead
AI
Analytics
Data Engineering
Python
Object Oriented Programming
Data Pipelines
ETL
Data Products
Snowflake

Nice to have

DevOps

Role summary

A fast-growing Toronto-based consulting firm is seeking a Lead Data Scientist with 3-7 years of commercial experience, including 1+ years in team leadership. The role involves partnering with clients' executive and technical teams to guide AI, analytics, data engineering, and data strategy. Responsibilities include identifying and championing projects, applying data science methods (ML, recommender systems, experimental design), designing end-to-end data pipelines, and empowering teams to build data products and KPIs. Strong Python skills, OOP fundamentals, ETL design experience, and data product strategy are essential. Experience with Snowflake is preferred, as is DevOps experience. The role requires technical leadership, mentoring capabilities, and strong communication skills for both technical and non-technical audiences.

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

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

We have very competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities.

Originally posted on Himalayas

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