Senior Marketing Data Scientist

Thumbtack
United States
Workplace: RemoteFull timeUSD 140,300 - 213,400 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Critical thinking","Problem-solving","Business judgment"]

Embed with the paid marketing team to drive end-to-end analytics for growth marketing, partnering with Marketing and Finance to understand user behavior, define audiences, measure performance, and forecast budgets. Translate ambiguous questions into rigorous analyses and recommendations, design and interpret experiments for causal inference, and build/maintain data products and trusted metrics that enable self-serve decision-making. Collaborate with MarTech, Product, and Engineering to develop new marketing measurement and optimization capabilities.

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Thumbtack
Thumbtack
5 months ago

Senior Marketing Data Scientist

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Last checked: 14 hours agoStatus: Live

Job Summary

Embed with the paid marketing team to drive end-to-end analytics for growth marketing, partnering with Marketing and Finance to understand user behavior, define audiences, measure performance, and forecast budgets. Translate ambiguous questions into rigorous analyses and recommendations, design and interpret experiments for causal inference, and build/maintain data products and trusted metrics that enable self-serve decision-making. Collaborate with MarTech, Product, and Engineering to develop new marketing measurement and optimization capabilities.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end analytics for growth marketing, partnering with Marketing and Finance to understand user behavior, define target audiences, measure campaign performance, and forecast/allocate budgets.
  • •Translate ambiguous business questions into rigorous analyses and clear recommendations to improve individual campaigns and optimize the overall marketing channel mix.
  • •Design, execute, and interpret experiments and quasi-experiments to enable causal inference and guide high-stakes marketing investment decisions.
  • •Partner with MarTech, Product Management, and Engineering to scope, build, and evaluate new capabilities (e.g., local market intelligence and LTV bidding improvements) with measurable performance gains.
  • •Build scalable analytical solutions, tools, and frameworks; maintain high-quality trusted data tables and metrics to enable self-serve decision-making across teams.

Pay and Benefits

Salary: USD 140,300 - 213,400 annually

Key Requirements

  • •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 with strong understanding of digital marketing and marketing measurement/performance optimization.
  • •Advanced SQL skills and proficiency in Python or R; experience using Looker or similar BI tools.
  • •Experience working with large, imperfect datasets and building/applying statistical and/or machine learning models to solve business problems.
  • •Strong problem-solving and critical thinking with the ability to navigate ambiguity and clearly communicate actionable insights.
Experience:3+ yearsDigital marketingMarketing measurementData science
Education:Bachelor's
Skills:CommunicationCollaborationCritical thinkingProblem-solvingBusiness judgment
Tech Stack:SQLPythonRLookerBI toolsMarTech

Company Brief

Thumbtack
Provides an online marketplace connecting local service professionals (home improvement, events, lessons, and more) with customers seeking quotes, reviews, and booking tools to hire vetted contractors and providers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2008
WebsiteLinkedIn