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Ampleinsightinc

Data Scientist - Data Analytics and Infrastructure

  • Seen live on Ampleinsightinc's site today
  • Mid level
Pay
Not stated
Location
Toronto, Ontario, Canada
Open for
12+ days
First seen
Oct 23, 2026
Apply on Ampleinsightinc's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Ampleinsightinc's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Ampleinsightinc, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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 Data Scientists passionate about Data Analytics and Infrastructure, with strong foundations in data engineering, analytics, and statistics. You should enjoy working with large, complex datasets and developing efficient pipelines that enable scalable, reliable data analytics.

You’ll be responsible for designing and maintaining data infrastructure, automating workflows, and enabling data accessibility across teams. Your work will directly impact business decisions by delivering high-quality insights and building robust analytics systems. Strong problem-solving, communication, and collaboration skills are key for this role.

Qualifications

  • BS (or higher, e.g., MS, or PhD) in Computer Science, Data Engineering, or a related technical field
  • Experience building and maintaining data pipelines and infrastructure in production environments
  • Proficient in SQL and data wrangling at scale (e.g., Spark, Airflow, dbt, etc.)
  • Strong grasp of statistics, data modeling, and performance tuning
  • Skilled in Python (Pandas, Numpy, etc.) and data visualization tools (e.g., Tableau, Power BI)
  • Familiarity with cloud data platforms (e.g., AWS, GCP, Azure)
  • Ability to design data schemas and implement analytics tracking strategies
  • Analytical mindset with a focus on impact, efficiency, and scalability

Additional Information

We have competitive compensation.

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

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