indeed
Senior Business Data Scientist, Marketing
JOBBER
Toronto, CAN
Full Time
Senior
Hybrid
Yesterday
Marketing Mix ModellingCausal InferenceExperimentationForecastingSQLPython
Free
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Marketing Mix ModellingCausal InferenceExperimentation
About the Role
Jobber is looking for a Senior Business Data Scientist to build the measurement systems, causal models, and decision frameworks that guide marketing investment decisions. You will design marketing mix models, attribution, incrementality tests, and forecasts to optimize millions of dollars in spend.
Key Skills for This Role
Marketing Mix ModellingCausal InferenceExperimentationForecastingSQLPython
Responsibilities
- Design and evolve an integrated marketing measurement system combining MMM, attribution, incrementality testing, experimentation, and forecasting
- Develop response curves, saturation models, and budget allocation scenarios to inform investment decisions
- Apply causal inference techniques to distinguish true incremental impact from correlation
- Design and evaluate experiments and quasi experiments including A/B tests, geo tests, and synthetic control
- Build predictive models for customer lifetime value, acquisition quality, conversion propensity, and segmentation
- Partner with Marketing leaders to shape the measurement roadmap and translate objectives into analytical solutions
- Create reproducible analytical workflows with strong quality assurance and documentation
- Provide technical guidance and mentorship to team members
Requirements
- Significant hands on experience in digital or performance marketing analytics, marketing science, or growth measurement
- Broad knowledge across marketing mix modelling, multi touch attribution, incrementality measurement, causal inference, forecasting, budget allocation, and customer lifetime value
- Expert level SQL skills and strong proficiency in Python or R
- Experience building or operating an integrated marketing measurement system
- Experience measuring harder to attribute areas such as brand, upper funnel, offline, referral, or partnership activity
- Strong understanding of SaaS and subscription economics (CAC, LTV, payback, churn, etc.)
- Familiarity with paid media platforms (Google Ads, Meta, programmatic) and privacy changes affecting measurement
- Experience mentoring analysts or data scientists
Full Job Posting
The Role
- Senior individual contributor who will bring advanced analytics and applied decision science to Jobber’s growth engine.
- Core domain is Marketing, with emphasis on performance marketing and demand generation.
- Design and evolve the quantitative backbone of Jobber’s marketing measurement.
- Build models, experiments, simulations, and measurement frameworks that influence how millions of dollars in marketing investment are allocated.
- Connect marketing activity to customer quality, revenue, payback, retention, and lifetime value.
What You’ll Own
- Design and evolve an integrated marketing measurement system that brings together MMM, attribution, incrementality testing, experimentation, forecasting, and business performance diagnostics.
- Measure contribution of directly attributable and harder to attribute investments using methods suited to each channel.
- Develop response curves, saturation and diminishing returns models, spend efficiency analyses, and budget allocation scenarios.
- Connect marketing investment to subscription revenue, CAC, payback, customer quality, LTV, retention, and long term business value.
- Evaluate and challenge vendor, platform, and third party measurement outputs.
- Apply causal inference and statistical techniques to distinguish true incremental impact.
- Design and evaluate experiments and quasi experiments.
- Build predictive and decision support models involving customer lifetime value, acquisition quality, conversion propensity, etc.
- Develop forecasts, simulations, and scenarios to help leaders understand expected outcomes and trade offs.
- Translate ambiguous business questions into well structured analytical problems.
- Partner closely with leaders across Demand Generation, Performance Marketing, Brand Marketing, etc.
- Create reproducible, well documented analytical workflows with strong quality assurance.
To Be Successful, You Should Have
- Significant hands on experience in digital or performance marketing analytics, marketing science, growth measurement, or closely related field.
- Broad, practitioner level knowledge across MMM, multi touch attribution, incrementality measurement, causal inference, forecasting, budget allocation, and customer lifetime value.
- Meaningful applied experience spanning MMM, attribution, and incrementality.
- Experience building, materially improving, or operating an integrated marketing measurement system.
- Hands on experience measuring at least one harder to attribute area.
- Expert level SQL skills and strong proficiency in Python or R.
- Strong statistical judgment.
- Familiarity with modern cloud data and BI platforms such as Snowflake, dbt, Tableau, Looker.
- Experience making analytical work reusable and repeatable.
- Familiarity with paid media, ad platform, CRM, lifecycle, web, revenue funnel, and customer data.
- Strong understanding of SaaS and subscription economics.
- Excellent stakeholder management and communication skills.
What Would Set You Apart
- Experience with MMM libraries such as Meridian, Robyn, PyMC Marketing.
- Deeper expertise in specialized causal inference approaches (geo experimentation, matched market, synthetic control, uplift modelling, etc.).
- Deep experience across multiple harder to attribute investment areas.
- Experience developing maintained analytical applications or automated workflows.
- Experience working in marketing environments with complex channel portfolios, international markets, or multi product acquisition strategies.
Compensation
- Minimum annual salary of CAD 151,200, midpoint of CAD 177,900, maximum of CAD 204,500.
- Base salary plus equity rewards, annual stipends for health and wellness, retirement savings matching, and extended health package.
- Access to talent development program including career coaching.
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