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Ample Insight

Data science consulting for AI analytics

Full Stack Developer - Front End

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • A bachelor's, master's, or PhD degree in Computer Science or a related engineering field involving coding.
  • At least 2 years of professional software development experience.
  • At least 1 year of experience working with React, Node, and TypeScript.
  • Solid computer science fundamentals across a range of disciplines, with deep knowledge and experience in at least one area.
  • A proven track record of technical expertise at a company with a strong engineering culture.
  • Experience setting technical strategy for an important company initiative.
  • Experience shipping software.

Responsibilities

  • Manage work directly with substantial ownership and autonomy as part of a small, impactful team.
  • Architect important systems and anticipate strategic and scaling-related challenges through thoughtful long-term planning.
  • Design, prototype, and create solutions that support highly reliable, scalable, and performant software-as-a-service products.
  • Own relationships with other engineering teams and collaborate with other functions.

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

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