Senior Business Data Scientist, Marketing

Jobber

Senior Business Data Scientist specializing in marketing measurement and analytics to drive customer value. Collaborating with cross-functional teams to inform marketing investments and strategies.

Posted 7/15/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$151,200 - CA$204,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advanced marketing measurement techniques, including Marketing Mix Modelling, Attribution, and Incrementality Testing, while applying statistical analysis to drive growth decisions. Proficient in SQL and Python or R for analytical workflow development and familiar with SaaS economics and performance metrics.

Highest-signal resume keywords

Marketing Mix ModellingIncrementality MeasurementExpert-Level SQL SkillsStatistical Modelling in Python or RSaaS Economics Understanding

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Marketing Mix ModellingIncrementality MeasurementAttribution MethodsCausal InferenceForecastingStatistical ModellingAnalytical Workflow DevelopmentBudget Allocation OptimizationCustomer Lifetime Value MeasurementData Validation

Soft Skills

Strategic PartnershipProblem FramingCollaboration

Tools & Technologies

SnowflakeDbtTableauLooker

Industry Keywords

Digital Marketing AnalyticsPerformance MarketingSaaSSubscription EconomicsCustomer Acquisition CostMonthly Recurring RevenueAnnual Recurring RevenueNet Revenue RetentionChurnRetention

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Build Jobber’s Marketing Measurement System: Design and evolve an integrated marketing measurement system that brings together marketing mix modelling (MMM), attribution, incrementality testing, experimentation, forecasting, and business performance diagnostics
Apply Advanced Analytics to Growth Decisions: Apply causal-inference and statistical techniques to distinguish true incremental impact from correlation, selection effects, seasonality, and noise
Act as a Strategic Partner to Marketing Leaders: Partner closely with leaders and teams across Demand Generation, Performance Marketing, Brand Marketing & Communications, Marketing Operations, Finance, and adjacent analytics functions
Build Scalable, AI-Native, and Trusted Analytical Capabilities: Create reproducible, well-documented analytical workflows with strong quality assurance, peer review, version control, and clear methodological standards
Lead as a Senior Individual Contributor: Independently own complex, ambiguous, and high-impact work from initial problem framing through modelling, interpretation, recommendation, and business adoption.

Requirements

What you’ll need

Significant hands-on experience in digital or performance marketing analytics, marketing science, growth measurement, or a closely related field, ideally in a SaaS, subscription, marketplace, or similarly complex business
Broad, practitioner-level knowledge across the advanced marketing measurement ecosystem, including: marketing mix modelling; multi-touch attribution and other attribution methods; incrementality measurement and experimentation; causal inference; forecasting and scenario modelling; budget allocation and optimization; and customer lifetime value and acquisition-quality measurement
Meaningful applied experience spanning MMM, attribution, and incrementality, with deeper specialization in one or more of these areas
Expert-level SQL skills and the ability to work confidently across complex relational data structures, construct analytical datasets, and validate logic
Strong proficiency in Python or R for statistical modelling, causal analysis, forecasting, simulation, optimization, and analytical workflow development
Familiarity with modern cloud data and business-intelligence platforms such as Snowflake, dbt, Tableau, Looker, or equivalent tools
A strong understanding of SaaS and subscription economics, including CAC, LTV, payback, conversion, MRR, ARR, NRR, churn, retention, customer quality, and long-term value
Legal entitlement to work in Canada.

Benefits

Comp & perks

A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind
Matching in RRSP, TFSA or FHSA
Stock options
A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.