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Data Scientist III - Growth Marketing

137 500 - 192 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Scientist III - Growth Marketing (SQL/Python/R): Designing marketing experiments, measurement frameworks, models, and analysis-ready datasets to optimize spend, targeting, and creative across channels with an accent on causal inference, statistical analysis, and large-scale marketing data. Focus on building self-serve analytics, automating recurring reporting, and translating complex data into actionable recommendations for marketing and business performance.

Location: Seattle, Washington, United States

Salary: $137,500–$192,500 total cash range; potential pay up to $220,000 based on sustained performance.

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, a B2B network, and travel advertising offerings.

What you will do

  • Identify and prioritize high-impact opportunities where data, experimentation, and visualization can guide marketing strategy.
  • Design and evaluate A/B tests, incrementality studies, pre/post analyses, causal impact studies, regressions, and multivariate analyses.
  • Build models and analysis-ready datasets with SQL and Python or R using large, multi-source marketing and product data.
  • Create presentations and dashboards for technical and non-technical audiences.
  • Automate recurring reporting and enable self-service analytics for marketing, product, engineering, and analytics partners.

Requirements

  • Bachelor’s degree in a quantitative field with 2–4 years of relevant experience, or 5+ years in a comparable data analytics or data science role.
  • Strong proficiency in statistical analysis, data manipulation, SQL, and Python or R.
  • Experience working with complex, high-volume datasets in a production analytics environment.
  • Ability to frame business problems as analytical tasks and deliver actionable insights.
  • Excellent communication, storytelling, visualization, and stakeholder-influence skills.
  • Experience delivering data-driven recommendations that improved marketing or business performance.

Nice to have

  • Graduate degree in statistics, applied mathematics, computer science, econometrics, operations research, or a related quantitative discipline.
  • Performance or growth marketing experience and hands-on experimentation expertise.
  • Experience with uplift modeling, causal inference, multi-touch attribution, or budget optimization at scale.
  • Familiarity with AI-driven systems, AI/ML concepts, scalable analytics pipelines, and workflow automation.

Culture & Benefits

  • Supportive environment focused on traveler-first thinking, ownership, operational excellence, and collaboration.
  • Medical, dental, and vision coverage.
  • Paid time off and an Employee Assistance Program.
  • Wellness and travel reimbursement, travel discounts, and IATAN membership.

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