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Чётко описанная роль в маркетинговой data science в продуктовой компании с серьёзными задачами по экспериментам и влиянием на решения; главное ограничение - работа доступна только в двух провинциях Канады.
Ограничение по локации
Современный стек
Понятные задачи
Продуктовая компания
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist II, Marketing (Marketing Analytics/SQL/Python): Driving growth marketing decisions through campaign measurement, customer segmentation, experimentation, and budget optimization with an accent on causal inference and scalable analytical frameworks. Focus on designing quasi-experiments, improving marketing channel performance, and building trusted data tables and metrics for cross-functional decision-making.
Location: Remote from Ontario or British Columbia, Canada
Expected total cash compensation: $168,300–$217,800 for candidates living in Ontario or British Columbia.
Company
hirify.global is a home-care marketplace and app that connects homeowners with local service businesses and provides guidance, AI tools, and hiring services.
What you will do
Own end-to-end analytics for growth marketing, including user behavior analysis, audience definition, campaign measurement, budget forecasting, and allocation.
Translate ambiguous business questions into rigorous analyses and recommendations that improve campaign performance and marketing channel mix.
Design, execute, and interpret experiments and quasi-experiments for causal inference and marketing investment decisions.
Partner with MarTech, Product Management, Engineering, Finance, Marketing, and external partners to build and evaluate capabilities such as local market intelligence and customer LTV bidding.
Develop expertise in growth marketing measurement, experimentation, segmentation, and targeting optimization.
Build and document scalable analytical solutions, trusted data tables, and metrics that support self-serve decision-making.
Requirements
Bachelor’s degree in statistics, mathematics, data science, economics, or a related quantitative field; an advanced degree is a plus.
3+ years of experience in marketing data science, including strong digital marketing knowledge and marketing measurement and performance optimization.
Advanced SQL skills and proficiency in Python or R.
Experience using Looker or similar BI tools to generate insights.
Experience working with large, imperfect datasets at scale and applying statistical and/or machine learning models to real-world business problems.
Strong problem-solving, critical-thinking, business judgment, and ability to identify meaningful signals in noisy data.
Excellent communication and storytelling skills, with the ability to explain complex concepts clearly and influence cross-functional partners.
Culture & Benefits
Full-time remote role for candidates in Ontario or British Columbia.
Collaborative, cross-functional data science environment focused on improving business decisions and data culture.
Equal opportunity workplace committed to reasonable accommodation during the application process.
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