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Data Scientist II, Marketing

Job not on LinkedIn

🔥 1 minute ago

🌐 United States, Canada, +1 more countries – Remote

infoinfo

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

Where this job comes from

Posted on Thumbtack's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of Thumbtack

Thumbtack

1001 - 5000 employees

👥 B2C

🏪 Marketplace

B2C • Marketplace • Home Services

Thumbtack is a platform that connects people with local professionals offering various services such as home improvement, repair, and cleaning. Users can search for specific services like house cleaning, handyman work, electrical and wiring repair, and more, getting access to trusted professionals with reviews and cost estimates. The platform is designed to make finding, hiring, and working with professionals simple and efficient, with the convenience of managing everything from one app. It serves millions of people across the U. S. , providing a wide range of services including landscaping, event planning, and more.

📋 Description

• Own end-to-end analytics for growth marketing • Partner 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 • Design, execute, and interpret experiments and quasi-experiments for causal inference • Partner with MarTech, Product Management, and Engineering to develop and evaluate new capabilities • Develop expertise in growth marketing measurement, experimentation, customer segmentation, and targeting optimization • Build scalable analytical solutions, tools, and frameworks • Design, maintain, and document trusted data tables and metrics for self-serve decision-making • Share learnings and contribute to Thumbtack’s broader data culture

🎯 Requirements

• Bachelor’s degree in statistics, mathematics, data science, economics, or a related quantitative field • 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 skills • Ability to influence cross-functional partners

🏖️ Benefits

• Equal opportunity workplace • Reasonable accommodation during the application process • Remote work arrangement

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