Data Scientist II, Marketing

Thumbtack

. Own end-to-end analytics for growth marketing, partnering with Marketing, Finance, and external partners to understand user behavior, define target audiences, measure campaign performance, and forecast and allocate budgets .

Posted 11/10/2026full-timeRemote • Canada, Philippines, United StatesMid-LevelSenior💰 CA$168,300 - CA$217,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in growth marketing measurement, experimentation, and customer segmentation, with strong analytical capabilities to translate business questions into actionable insights. Proficient in utilizing advanced SQL, Python or R, and BI tools like Looker for data-driven decision-making.

Highest-signal resume keywords

Growth Marketing MeasurementAdvanced SQL SkillsPython Or R ProficiencyMarketing Measurement And Performance OptimizationStatistical And Machine Learning Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical AnalysisCausal InferenceExperiment DesignCustomer SegmentationPerformance OptimizationAnalytical SolutionsData DocumentationLarge Dataset ManagementMarketing Analytics

Soft Skills

Problem-SolvingCritical ThinkingBusiness JudgmentCommunicationInfluencing

Tools & Technologies

LookerBusiness Intelligence ToolsMarTech SolutionsData TablesAnalytical Frameworks

Industry Keywords

Digital MarketingMarketing Channel MixUser Behavior AnalysisCampaign PerformanceBudget Allocation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own end-to-end analytics for growth marketing, partnering with Marketing, Finance, and external partners to understand user behavior, define target audiences, measure campaign performance, and forecast and allocate budgets
Translate ambiguous business questions into rigorous analyses and clear recommendations to improve campaign performance and optimize the marketing channel mix
Design, execute, and interpret experiments and quasi-experiments for causal inference and marketing investment decisions
Partner with MarTech, Product Management, and Engineering to scope, build, and evaluate new capabilities, including local market intelligence frameworks and customer LTV bidding system improvements
Develop expertise in growth marketing measurement, experimentation, customer segmentation, and targeting optimization
Collaborate with cross-functional partners to build scalable analytical solutions, tools, and frameworks
Design, maintain, and document trusted data tables and metrics enabling self-serve decision-making

Requirements

What you’ll need

Bachelor’s degree in statistics, mathematics, data science, economics, or a related quantitative field (advanced degree a plus)
3+ years of experience in marketing data science
Strong understanding of digital marketing
Experience with marketing measurement and performance optimization
Advanced SQL skills
Proficiency in Python or R
Experience using Looker or similar BI tools
Experience working with large and imperfect datasets at scale
Experience building and applying statistical and/or machine learning models
Strong problem-solving and critical-thinking abilities
Strong business judgment
Excellent communication and storytelling abilities
Ability to influence cross-functional partners

Benefits

Comp & perks

Variable pay may be applicable as part of total cash compensation
Equal opportunity workplace
Reasonable accommodation during the application process