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Data Scientist

Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listing for: insighterhub
Remote/Work from Home position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Insighter provides marketers with actionable intelligence by unifying fragmented data into a single infrastructure. Powered by the Insighter Hub Marketing Lakehouse, the platform combines lake and warehouse technology with AI-driven insights and activation tools. With features like AI-powered attribution, forecasting, budget intelligence, and neuroscience-driven strategies, Insighter transforms raw marketing data into clear next steps. Offering 200+ native integrations, the platform is designed to optimize performance marketing and revenue operations.

By focusing on intelligence rather than just data, Insighter helps CMOs and organizations make smarter, strategic decisions.

Role Description
This is a remote contract role for a Data Scientist. The Data Scientist will be responsible for analyzing large datasets, creating statistical models, and developing insights to guide marketing strategies and operations. Key responsibilities include data processing, conducting data analytics, designing data visualizations, and collaborating with cross-functional teams for strategy optimization. The role also involves exploring and implementing algorithms to improve forecasting and attribution models.

Responsibilities

Data processing and cleaning of large marketing datasets.

Conducting data analytics to uncover actionable insights.

Designing data visualizations to communicate findings.

Collaborating with cross‑functional remote teams for strategy optimization.

Exploring and implementing algorithms to improve forecasting and attribution models.

Qualifications

Proficiency in Data Science, Statistics, and Data Analysis.

Strong skills in Data Visualization and Data Analytics.

Knowledge of AI and machine learning techniques is a plus.

Proficiency in programming languages such as Python, R, or SQL.

Ability to work collaboratively with cross‑functional remote teams.

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

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