обновлено 9 дней назад
Lead Data Scientist, Marketing Advanced Analytics
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist, Marketing Advanced Analytics (AI/Marketing Analytics): Developing advanced data science models and analytical solutions that guide global marketing investment decisions, with an accent on machine learning, experimentation, causal inference, and customer analytics. Focus on leading complex cross-organizational initiatives, connecting model findings to business strategy, and communicating trade-offs to senior decision makers.
Location: Sant Cugat del Valles, Barcelona, Spain
Company
is a global technology company developing computing, printing, 3D printing, and sustainable technology solutions across more than 170 countries.
What you will do
- Identify marketing and eCommerce business needs, align with stakeholders, and organize analytics teams around high-impact initiatives.
- Define and implement advanced models to uncover patterns, generate predictions, and create business value.
- Lead complex cross-organizational projects involving multiple Data Scientists and provide domain expertise.
- Develop innovative solutions using machine learning, experimentation, causal inference, customer segmentation, MTA, and MMM.
- Create clear visualizations and presentations covering business cases, options, trade-offs, and recommendations for senior decision makers.
- Mentor less experienced staff and support skills assessment, feedback, and hiring approaches.
Requirements
- Typically 6–10 years of relevant experience in data science or a related field.
- Bachelor’s, master’s, or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or an equivalent discipline.
- Extensive experience applying statistics, mathematics, algorithms, and programming to business problems.
- Proficiency in Python and SQL, with the ability to build complex analytical models and communicate data insights through visualizations.
- Experience with test design and measurement, customer segmentation, cleanroom technology, multi-touch attribution, and marketing mix modeling.
- Mastery in English is required.
Culture & Benefits
- Work on global marketing analytics initiatives influencing investment decisions across ’s digital direct marketing ecosystem.
- Collaborate with managers, directors, senior individual contributors, and executive leadership.
- Access ongoing training, educational opportunities, and internal mobility programs.
- Contribute to a technology company focused on innovation and sustainable computing.
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