Data Scientist

Astek; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading IT consulting firm in Toronto is looking for a Data Scientist with at least 5 years of experience. The role involves analyzing large datasets, designing statistical models, and collaborating with cross-functional teams. Proficiency in Python and SQL is essential. This position offers an opportunity to drive business performance through data insights.

Qualifications

• At least 5 years of professional experience in data science, analytics, or a related field.
• Proven ability to build and deploy models that drive business value.
• Strong foundation in statistics, machine learning, and data mining.
• Experience working with large datasets and both structured and unstructured data.

Responsibilities

• Extract meaningful patterns from large datasets.
• Design and implement statistical models.
• Collaborate with cross-functional teams.
• Present insights and recommendations clearly.
• Work hands-on with tools for data manipulation.

Skills

Data analysis

Statistical modeling

Machine learning

Python

SQL

Collaboration

Tools

Pandas

Scikit-learn

Data visualization tools

Job description

Astek Canada is part of the global Astek Group, operating in 25 countries and supported by over 10,000 highly skilled professionals in IT and engineering. In Canada, we specialize in IT consulting and engineering services.

Since 1988, our teams have been successfully driving our clients’ development strategies. Guided by shared values, we’ve built strong, trusted relationships by placing their needs at the core of everything we do.

Key Responsibilities:

• Dive deep into large and diverse datasets to extract meaningful patterns and uncover hidden opportunities.
• Design and implement statistical models and predictive algorithms to enhance business performance and decision-making.
• Collaborate with cross-functional teams to identify use cases, define goals, and deliver impactful data solutions.
• Present insights and recommendations in a clear and engaging way—whether it’s for business stakeholders or technical teams.
• Work hands-on with tools such as Python, SQL, and cloud-based platforms to manipulate, analyze, and visualize data.

Profile:

• At least 5 years of professional experience in data science, analytics, or a related field.
• Proven ability to build and deploy models that drive business value.
• Strong foundation in statistics, machine learning, and data mining.
• Proficiency in Python (Pandas, Scikit-learn, etc.), SQL, and data visualization libraries or tools.
• Experience working with large datasets and both structured and unstructured data.