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Data Scientist, Insights

  • Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Education
Bachelor’s degree
Experience
3-5 years of experience with building data models and forecast
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

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.
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

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Categories

  • Data & Analytics
  • Technology
  • Science & Research
  • Finance & Accounting

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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