Data Scientist REF : 185305

Forsyth Barnes; Toronto; On-site; CAD 80,000 - 100,000; Part time

Job summary

A staffing and recruiting firm based in Toronto is looking for a Data Scientist to enhance marketing strategies. This contract position involves developing advanced analytics models and collaborating with various stakeholders to optimize marketing investments. The ideal candidate will have a degree in a STEM field, experience with machine learning, and strong communication skills.

Qualifications

• 3+ years of hands-on experience with machine learning/statistical models.
• Strong foundation in statistical methodologies.

Responsibilities

• Develop and deploy statistical and machine learning models.
• Lead complex, end-to-end projects with tight timelines.
• Collaborate with cross-functional teams.

Skills

Statistical modeling

Machine learning

Python

SQL

Data integration

Communication skills

Education

Bachelor’s or Master’s degree in a STEM field

Tools

Databricks

Job description

Overview

Looking for a skilled Data Scientist on a contract basis to support a Toronto-based marketing analytics team in optimizing marketing investments through robust modelling, analytics, and actionable insights. This role will focus on the development, deployment, and adoption of advanced models to evaluate marketing campaign performance and drive strategic decision-making.

Key Responsibilities

• Develop and deploy statistical and machine learning models to measure the impact of marketing campaigns and optimize spend across short- and long-term business objectives.
• Lead and contribute to complex, end-to-end projects, often operating in ambiguous environments with tight timelines.
• Help shape the team’s roadmap by identifying and prioritizing high-impact projects.
• Think creatively and critically to solve both scientific and practical business problems, ensuring insights are adopted by stakeholders.
• Collaborate cross-functionally with Data Scientists, Engineers, Analysts, and Marketing stakeholders to integrate models into business processes.

Ideal Candidate Profile

• Bachelor’s or Master’s degree in a STEM field (e.g., Computer Science, Data Science, Mathematics).
• 3+ years of hands-on experience building and productionizing machine learning / statistical models.
• Advanced proficiency in Python and SQL; experience with Databricks is a strong asset.
• Strong foundation in statistical methodologies, including Bayesian inference, time series analysis, multilevel modeling, double ML, and bootstrapping.
• Proven ability to integrate data science solutions into operational workflows.
• Organized, self-motivated, and capable of leading projects with minimal supervision.
• Excellent communication skills, with the ability to translate technical concepts for both technical and non-technical stakeholders.

Qualifications

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Information Technology
• Industries: Staffing and Recruiting

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