Data Scientist - Data Analytics and Infrastructure
At a glance
Mid-level Data Analysis & BI role at Ample Insight Inc. Remote, Canada · full-time · no salary stated · we estimate CA$75,000–CA$101,994.
Ample Insight Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after data infrastructure that supports dependable, scalable analytics
- Create efficient pipelines for large, complex datasets and keep those pipelines reliable
- Automate data workflows and make information accessible across teams
- Deliver business insights and strengthen analytics systems to support decisions
What you bring
- A bachelor's degree or higher in computer science, data engineering or another related technical field
- Hands-on experience building and supporting data pipelines and infrastructure in production
- Strong SQL and large-scale data-wrangling skills, with Python and statistical knowledge
- You can model data, tune performance, design schemas and set up analytics tracking
Who this fits
This role suits a data scientist with strong data engineering, analytics and statistics foundations who enjoys complex datasets and collaborative problem-solving. The position is based in Toronto and marked remote.
From the employer
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.
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.
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
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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