Ample Insight

Data science consulting for AI analytics

Lead Data Scientist

Data ScienceConfirmed live in the last 24 hours

Full-timeToronto, ON, CanadaRemote

About the Job

Requirements

A BS or higher degree, such as an MS or PhD, in Computer Science, Engineering, Math, or Statistics.
Three to seven years of commercial experience as a data science lead solving high-impact business problems, including at least one year leading and maintaining high-performance data science teams.
Extensive experience using Python, including a strong grasp of object-oriented programming fundamentals.
Experience building data pipelines and driving extract, transform, and load design decisions.
Experience delivering business impact through analysis and data products.
Technical leadership and management experience, with the ability to work in code at a level respected by peers and mentor peers.
Experience creating data product strategies, shipping data products, iterating after launch, and trying again.
The ability to prioritize and communicate effectively with technical and non-technical audiences.
Working knowledge of Snowflake.

Responsibilities

Partner closely with clients' executive and technical teams to guide decisions relating to artificial intelligence, analytics, data engineering, and data.
Proactively identify and champion projects that solve complex problems across multiple domains.
Apply specialized skills and fundamental data science methods, including experimental design, recommender systems, and machine learning, to inform improvements to clients' businesses.
Design and implement end-to-end data pipelines, working with stakeholders to build models, tables, or schemas that support clients' business processes.
Empower internal and external teams to build and maintain actionable key performance indicators, production-quality dashboards, informative deep dives, and scalable data products.

Desired Qualifications

DevOps experience

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

Additional Information

We have very competitive compensation.

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

About the Company

Ample Insight

Data science consulting for AI analytics

Ample Insight provides data science consulting and AI-driven analytics to help businesses optimize operations. It serves clients worldwide, including Unilever, and offers services such as data aggregation, cleansing, transformation, and analysis, delivered through tailored, project-based engagements and long-term partnerships. The company emphasizes automating workflows and speeding delivery with a team of data scientists and consultants from leading tech firms, turning raw data into actionable insights that improve metrics like average order value and traffic-adjusted revenue. Unlike firms that offer generic services, Ample Insight differentiates itself through its ability to automate processes, scale across the global market, and deliver customized solutions quickly. The goal is to turn complex data into practical business outcomes by providing end-to-end analytics and AI-powered solutions.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Canada
Founded: 2018

Recently Posted Jobs

Explore more opportunities at Ample Insight

See more jobs