Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$160к-200к/год
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Крутая вакансия
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Чётко описанная руководящая роль сочетает практическую работу с data science, развитие команды и подробно обозначенные меры поддержки благополучия сотрудников.
Актуальные технологии
Понятная зона ответственности
Поддержка благополучия
Вложения в развитие
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Marketing Data Science Manager (Marketing Measurement/Experimentation): Leading a data science team that builds marketing measurement models, experimentation frameworks, and analytics for SEM, SEO, brand media, and user journeys with an accent on causal inference, incrementality, and efficient budget allocation. Focus on designing rigorous experiments, combining attribution with marketing mix modeling, building scalable data products, and guiding technical work across marketing and engineering.
Location: Cambridge Office, Massachusetts, United States
Salary: $160,000–$200,000 annually, excluding annual bonus and recurring RSU grants.
Company
hirify.global is a travel search engine and part of Booking Holdings, operating global metasearch brands and a corporate travel solution.
What you will do
Lead, coach, and develop a team of data scientists while setting goals, supporting career growth, and fostering curiosity and ownership.
Set the team roadmap and priorities across SEM, SEO, brand, and other marketing channels.
Own the marketing experimentation process, including test design, statistical rigor, execution, analysis, and decision-making standards.
Develop measurement frameworks combining marketing mix modeling, attribution, incrementality testing, value estimation, and LTV.
Oversee paid search, SEO, brand media, user journey, and landing page analytics, translating findings into budget, channel, and testing recommendations.
Partner with data engineering, machine learning, and software engineering teams to build scalable data products while contributing to modeling, analysis, and code review.
Requirements
Experience leading or mentoring data scientists or analysts and helping people grow.
Hands-on experience with statistical inference, experimentation, causal inference, A/B testing, geo experiments, and incrementality measurement.
Experience with marketing measurement methods including marketing mix modeling, attribution, and LTV modeling.
Analytics experience in at least one of paid search/PPC, SEO, or brand/upper-funnel media, with interest in developing depth across the others.
Strong Python and SQL skills, including building and deploying models in production or near-production environments.
Ability to communicate technical work clearly to marketing, product, and business partners without a data science background.
Collaborative, non-hierarchical, and humble leadership style.
No specific degree field or minimum years of experience is required; demonstrated skills, curiosity, and impact are valued, including non-traditional and self-taught backgrounds.
Nice to have
Experience with econometric modeling, Bayesian methods, or causal modeling.
Familiarity with web analytics and user journey or funnel analysis.
Experience in online travel, e-commerce, or another performance-marketing-driven business.
Familiarity with open-source marketing mix modeling tools such as Meridian, Robyn, or PyMC-Marketing.
Experience measuring traffic from AI search and LLM-driven channels.
Culture & Benefits
Work from almost anywhere for up to 20 days per year; the role is based at the Cambridge office.
Company-paid therapy sessions, Headspace subscription, a company-wide week off, and no-meeting Fridays.
Paid parental leave, generous paid vacation, birthday time off, paid volunteer time, and competitive retirement and health plans.
Development dollars, leadership development, on-demand learning, employee resource groups, and travel discounts.
Free lunch two days per week and quarterly team events.
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