Data Scientist

Sequoia Technologies; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Sequoia Technologies is seeking a passionate Data Scientist to join our growing team. You will work with large datasets, develop predictive models, and provide actionable insights that help clients make data-driven decisions.

You'll build dashboards, collaborate with AI engineers, and communicate complex data concepts to stakeholders. A strong foundation in Python, SQL, and statistics is essential for success in this role.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong knowledge of Python, SQL, and data analysis libraries.
• Experience with machine learning frameworks and visualization tools.
• Understanding of statistical methods and predictive analytics.
• Excellent problem-solving and communication skills.

Responsibilities

• Collect, clean, and analyze structured and unstructured data.
• Build and validate statistical and machine learning models.
• Identify patterns, trends, and business opportunities from data.
• Develop dashboards, reports, and data visualizations.
• Collaborate with AI engineers and developers to implement data-driven solutions.
• Support client projects by providing analytical insights and recommendations.
• Present findings and communicate complex data concepts to stakeholders.

Skills

Python

SQL

Data analysis libraries

Machine learning

Communication skills

Problem-solving

Education

Bachelor's or Master's degree in DS/CS/Math

Tools

Visualization tools

Power BI

Tableau

Job description

Location: Remote / Hybrid / On-site
Employment Type: Full-Time

About the Role

We are looking for a passionate and analytical Data Scientist to join our growing team. You will work with large datasets, develop predictive models, and provide actionable insights that help our clients make data-driven decisions and accelerate their digital transformation initiatives.

Key Responsibilities

Collect, clean, and analyze structured and unstructured data.

Build and validate statistical and machine learning models.

Identify patterns, trends, and business opportunities from data.

Develop dashboards, reports, and data visualizations.

Collaborate with AI engineers and developers to implement data-driven solutions.

Support client projects by providing analytical insights and recommendations.

Present findings and communicate complex data concepts to stakeholders.

Required Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Strong knowledge of Python, SQL, and data analysis libraries.

Experience with machine learning frameworks and visualization tools.

Understanding of statistical methods and predictive analytics.

Excellent problem-solving and communication skills.

Preferred Skills

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Familiarity with Generative AI and Large Language Models (LLMs).

Knowledge of business intelligence tools such as Power BI or Tableau.