Data Scientist - Data Analytics and Infrastructure

Ample Insight Inc.; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A fast-growing consulting firm in Toronto is seeking passionate Data Scientists to join their team. The role focuses on data engineering, analytics, and building scalable data infrastructure. Candidates should have strong skills in SQL and Python, along with a solid understanding of statistics and data visualization tools. The position offers competitive compensation and opportunities to work on exciting projects, fostering a culture of accountability and autonomy.

Benefits

Competitive compensation

Cool projects based on interests

Accountability-focused environment

Qualifications

• Experience building and maintaining data pipelines and infrastructure in production environments.
• Proficient in SQL and data wrangling at scale.
• Strong grasp of statistics, data modeling, and performance tuning.

Responsibilities

• Design and maintain data infrastructure.
• Automate workflows and enable data accessibility.
• Deliver high-quality insights that impact business decisions.

Skills

Data Analytics

Data Engineering

SQL

Python

Statistics

Data Visualization

Education

BS or higher in Computer Science, Data Engineering, or a related technical field

Tools

Spark

Airflow

dbt

Tableau

Power BI

AWS

GCP

Azure

Job description

Job Description

Job Description

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 technologiesto Fortune 500companies 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.