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Added 10 mins ago
Asset Management Analyst
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$20 to $32 CAD / hour
Contract
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Added 54 mins ago
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Observability Specialist
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Guideline

Data Scientist, Insights

Toronto, ON, Canada

Job type: Full-time
Apply by: Nov 3, 2026
Education: Bachelor’s degree
Experience: 3-5 years of experience with building data models and forecast
Posting language: English
Posted: Sep 5, 2026

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Original job description

Job Type

Full-time

Description

About Guideline

Guideline is a global provider of ad intelligence and media plan management technology, powering the strategy, planning, and management of advertising buying and selling for the world’s leading enterprises. Our solutions deliver the industry’s most comprehensive and timely insights, enabling publishers, agencies, brands, investors, and consulting firms to optimize media performance and drive superior business outcomes.

Guideline’s proprietary spend and pricing data represents approximately $200 billion in annual media investment across 65 countries, providing the most complete and transparent view of the global advertising marketplace available today. In 2026 we are accelerating our investment in analytics and AI-powered solutions for the advertising and capital markets industries.

About The Role

The Insights team within Guideline is focused on developing and delivering high value data products and insights that drive client engagement and revenue across multiple sales teams. The Data Scientist, Insights, will report to the Chief Insights & Analytics Officer. We are looking for a candidate with a strong command of data analytics, data modeling and forecasting techniques to join our team.

This role is hybrid and requires 2 days per week in our Toronto office.

Key Responsibilities

Analyze structured and unstructured data to generate actionable insights for clients.
Build and maintain client facing products including but not limited to predictive models for market trends and revenue forecasts for publicly traded companies.
Create visuals and narratives around data to shape conversations around trends within the data
Work with domain experts to develop features and test hypotheses relevant to equities and the overall advertising market.
Partner with product, data engineering and sales teams to embed insights into solutions that align with customer needs
Ensure data integrity, quality, and governance in all analytical work.
Stay informed of market trends, financial regulations, and modeling advancements relevant to advertising.

Qualifications

Bachelor’s Degree in computer science, statistics or direct experience required
3-5 years of experience with building data models and forecast
Proficient in Python coding, data analytics and machine learning
AWS, Snowflake experience a plus
Strong written and oral communication
Understanding of the financial markets a plus
Knowledge of the Ad/Media buying industry a plus

Benefits:Guideline offers full-time employees a comprehensive benefits package based on location. Some benefits may include, but are not limited to:

Health, dental, life, and disability insurance
RRSP with company match
Paid time off and parental leave
Teledoc Health services
Employee recognition and referral bonuses

Equal Opportunity Employer: Guideline is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities, and veterans to apply.

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More about this job

Responsibilities

Analyze structured and unstructured data to produce client insights, predictive models, revenue forecasts, and data-driven narratives about market trends. Collaborate with domain experts and product, data engineering, and sales teams to develop and integrate insights while maintaining data integrity, quality, and governance.

Requirements

A bachelor's degree in computer science or statistics, or equivalent direct experience, is required, along with 3–5 years of experience building data models and forecasts. Candidates should be proficient in Python, data analytics, and machine learning; AWS and Snowflake experience, financial markets knowledge, and advertising or media-buying industry knowledge are advantageous.

Skills

Data Analytics
Data Modeling
Forecasting
Python
Machine Learning
Predictive Modeling
Revenue Forecasting
Data Visualization
Data Storytelling
Hypothesis Testing
Data Quality
Data Governance
Written Communication
Oral Communication
Financial Markets
Advertising Market Analysis

Benefits

Health Insurance
Dental Insurance
Life Insurance
Disability Insurance
RRSP With Company Match
Paid Time Off
Parental Leave
Teledoc Health Services
Employee Recognition Bonuses
Employee Referral Bonuses

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Data Modeling
Forecasting
Python
Machine Learning
AWS
Snowflake
Predictive Models
Revenue Forecasts
Structured Data
Unstructured Data
Data Visualization
Data Narratives
Hypothesis Testing
Equities
Financial Markets
Advertising Market
Media Buying
Data Integrity
Data Quality
Data Governance
Client-Facing Products
Product Collaboration
Data Engineering
Sales Collaboration
Market Trends
Financial Regulations
Ad Intelligence
Media Plan Management

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