Full-Time

Lead Data Scientist

Ample Insight

Ample Insight

11-50 employees

Data science consulting for AI analytics

No salary listed

Toronto, ON, Canada

Remote

Bachelor's, Master's, PhD

Category
Data & Analytics (1)
Required Skills
Python
Data Visualization
Data Science
Machine Learning
Data Engineering
Data Modeling
DevOps
Data Analysis
Snowflake

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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

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

N/A

Total Funding

N/A

Headquarters

Canada

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • Ample Insight updated its website in June 2026, signaling active commercialization.
  • Clutch rated it a top Canadian AI and Big Data provider through September 2026.
  • LinkedIn lists 26,368 followers and 11-50 employees, showing meaningful market visibility.

What critics are saying

  • Consulting revenue stays tied to billable projects, creating weak recurring revenue.
  • Atlas faces commoditization from Databricks, Snowflake, and OpenAI partner ecosystems by 2027.
  • Garry Ma drives the brand; founder dependence threatens continuity and sales if he leaves.

What makes Ample Insight unique

  • Ample Insight combines consulting with Atlas, its proprietary data-quality platform.
  • The firm markets senior talent from Meta, Amazon, Uber, Google, and Microsoft.
  • Founded in 2018, Toronto-based Ample Insight serves startups and Fortune 500 clients.

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Benefits

Health Insurance

401(k) Retirement Plan

Remote Work Options

Flexible Work Hours

Paid Vacation

Monthly stipend

Wellness Program

Mental Health Support

Conference Attendance Budget

Professional Development Budget