Data Scientist, Insights

Guideline

Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.

Posted 7/3/2026full-timeToronto • 🇨🇦 CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in analyzing structured and unstructured data to generate actionable insights, with expertise in building predictive models and ensuring data integrity. Strong communication skills facilitate collaboration with cross-functional teams to align insights with customer needs.

Highest-signal resume keywords

Python CodingData AnalyticsMachine LearningData ModelingFinancial Market Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingForecastingData IntegrityData Governance

Soft Skills

Strong Written CommunicationStrong Oral Communication

Tools & Technologies

AWSSnowflake

Industry Keywords

Financial RegulationsAd/Media Buying IndustryMarket Trends

Tech Stack

Tools & technologies

AWSPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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