Posted 43 months ago
Lead Data Scientist
@ Ample Insight Inc.
Toronto, Ontario
Overview
Ample Insight Inc. is hiring a Data Science Lead, a full-time role at a Toronto consulting firm serving startups and Fortune 500 companies. The lead advises client executive and technical teams on AI, analytics and data engineering, builds data pipelines and products, and leads and mentors data science teams. The posting describes very competitive compensation and autonomy on projects, without micro-management.
Responsibilities:
- Advise client executive and technical teams on AI, analytics and data decisions
- Design and implement end-to-end data pipelines and schemas
- Build KPIs, production dashboards and scalable data products
- Apply machine learning and experimental design to improve client businesses
- Lead and mentor data science teams
Requirements summary:
- Bachelor's or higher in computer science, engineering, math or statistics
- 3 to 7 years of data science lead experience
- 1+ years leading high-performance data science teams
- Extensive Python with strong object-oriented programming
- Experience building data pipelines and ETL design
- Working knowledge of Snowflake
Tools & skills
Source and dates
Employer career site / ATS feed · smartrecruiters
- Employer posting date
- 2023-04-26
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Data & analytics |
| Experience | 3+ years |
| Management experience | 1+ years |
| Manages people | Yes |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Engineering, Mathematics, Statistics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Ample Insight Inc.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We build trusted AI and data solutions.
Full company description
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
- LinkedIn followers
- 26,437
- People associated on LinkedIn
- 14
- Reported office locations
- 720 King St W, Suite 908, Toronto, Ontario M5V 3S5, CA
- Business categories
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Ample Insight Inc.
- Ample Insight
- Specialties
- Data Science
- Machine Learning
- AI
- Analytics
- Computer Vision
- Software Engineering
- MVP
- Data Engineering
- Data Infrastructure
- Data Governance
- Generative AI
- LLM
- and ChatGPT
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
| Field | Value |
|---|---|
| Industry | Data Infrastructure and Analytics |
| Company size | 11-50 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2018 |
| Specialties | Data ScienceMachine LearningAIAnalyticsComputer VisionSoftware EngineeringMVPData EngineeringData InfrastructureData Governance |
| Open jobs on Jobsy | 8 |
| View page |
Company Description
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.
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.
Journal
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