Data Scientist REF:185305

Forsyth Barnes

Toronto

On-site

CAD 130,000 - 150,000

Part time

14 days+

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Job summary

A leading company in staffing and recruiting is seeking a skilled Data Scientist on a contract basis in Toronto. The role focuses on optimizing marketing investments through advanced modeling and analytics, requiring a strong background in machine learning and statistical methodologies. The ideal candidate will have a degree in a STEM field and experience in productionizing models, contributing to strategic decision-making in a collaborative environment.

Qualifications

3+ years of hands-on experience building and productionizing machine learning/statistical models.
Strong foundation in statistical methodologies including Bayesian inference and time series analysis.
Organized, self-motivated, and capable of leading projects with minimal supervision.

Responsibilities

Develop and deploy statistical and machine learning models to optimize marketing spend.
Lead complex, end-to-end projects in ambiguous environments with tight timelines.
Collaborate with cross-functional teams to integrate models into business processes.

Skills

Python

SQL

Statistical methodologies

Machine learning

Data integration

Communication skills

Education

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

Tools

Databricks

Job description

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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.

Seniority level