Data Scientist

freelance.ca; Toronto; On-site; CAD 85,000 - 110,000; Full time

Job summary

A leading freelance platform is looking for a Data Scientist in Toronto, Ontario. You will dive into large datasets to uncover patterns and design predictive models that enhance business decision-making. The ideal candidate has at least 5 years of experience, proficiency in Python and SQL, and strong statistical skills. This role involves collaborating with cross-functional teams and delivering impactful insights.

Qualifications

• 5+ years of experience in data science or analytics.
• Experience in deploying models that drive business value.
• Strong foundation in statistics and data mining.

Responsibilities

• Extract patterns and uncover opportunities from datasets.
• Design predictive algorithms for business performance.
• Collaborate with teams to define goals and deliver solutions.

Skills

Data analysis

Statistical modeling

Machine learning

Data visualization

Collaboration

Tools

Python

SQL

Cloud-based platforms

Job description

• 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.