Data Scientist building production ML, NLP, and GenAI solutions for Irth’s critical - infrastructure SaaS platform. Developing Databricks pipelines and maintainable software for damage prevention and asset integrity.
About the role
- 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.
Responsibilities
- 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
- 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
- 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.
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