Jobber
Senior Business Data Scientist, Marketing
Toronto · Senior
Sponsorship not specifiedDetected 7 days ago
PythonData StructuresCode ReviewSQLSnowflakeMachine LearningdbtData EngineeringData ScienceData VisualizationMLOpsA/B TestingMarketing AnalyticsPerformance MarketingForecastingResearchLeadershipCommunicationMentoring
About the role
- Reporting to the Manager, Customer Analytics, the Senior Business Data Scientist, Marketing is a senior individual contributor who will bring advanced analytics and applied decision science to Jobber's growth engine.
- This is a hands-on, technically deep role.
Responsibilities
- You will own the analytical work end to end-from problem formulation and methodology selection through development, validation, interpretation, and business application.
- Build Jobber's Marketing Measurement System
- Develop response curves, saturation and diminishing-returns models, spend-efficiency analyses, and budget-allocation scenarios that inform channel and portfolio investment decisions.
- Design and evaluate experiments and quasi-experiments, including A/B tests, geo or matched-market tests, synthetic-control approaches, and other appropriate impact-evaluation methods.
- Build predictive and decision-support models involving customer lifetime value, acquisition quality, conversion propensity, lead or customer scoring, segmentation, and downstream customer outcomes.
- Develop forecasts, simulations, and scenarios that help leaders understand expected outcomes, uncertainty, risk, and trade-offs under different investment decisions.
- Clearly communicate confidence, assumptions, methodological limitations, and what the available evidence does-and does not-support.
Nice to have
- Connect marketing and channel 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, including the assumptions and biases embedded in platform-reported attribution.
- Apply causal-inference and statistical techniques to distinguish true incremental impact from correlation, selection effects, seasonality, and noise.
- Translate ambiguous business questions into well-structured analytical problems, selecting methods that are appropriate for the decision, data, timeline, and level of precision required.
- Proactively identify opportunities to improve marketing efficiency, channel mix, customer quality, conversion, revenue performance, and long-term value.
- Set a high standard for statistical rigour, analytical judgment, documentation, and decision relevance.
- Provide technical guidance, peer review, and mentorship to members of the Marketing and Customer Analytics teams.
- Help colleagues and stakeholders select appropriate analytical methods and understand the implications and limitations of the resulting evidence.
Skills
- Your core domain will be Marketing, with particular emphasis on performance marketing and demand generation.
Company info
- Analytics is Jobber's internal consulting and decision-support function, connecting data and business insight with teams across the organization.
- Customer Analytics helps Jobber understand how we acquire, monetize, serve, and retain customers-and turns that understanding into decisions that improve growth and long-term customer value.
- This role brings specialist Business Data Science depth to Customer Analytics, combining advanced statistical modelling, causal inference, experimentation, simulation, forecasting, and optimization with deep business context to help leaders make complex, high-value decisions.
- You will work closely with Customer Analytics colleagues and partners across Marketing, Finance, BI & Analytics Engineering, Data Science, Data Engineering, and other teams across Jobber.
This listing is sourced directly from Jobber's careers page and normalized into a canonical job model.