обновлено 4 дня назад
Data Science Principal (Fashion)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Principal (Fashion) (Data Science, Analytics): Translating fashion business problems into impactful analytics solutions while managing client relationships and project delivery with an accent on statistical analysis, machine learning, and omnichannel business knowledge. Focus on leading multidisciplinary teams, structuring complex data problems, and guiding junior colleagues toward clear business outcomes.
Location: Porto, Portugal
Company
develops solutions in Big Data, Digital Commerce, Marketing, Design, and Advisory services, with a joint HUGO BOSS Digital Campus focused on data analytics, eCommerce, and technology capabilities.
What you will do
- Manage client interactions and build long-term client relationships.
- Translate business problems into data science and analytics solutions with clear, impactful outcomes.
- Provide project management oversight to meet client expectations.
- Prepare presentations and manage external relationships when required.
- Identify opportunities beyond the scope of current projects.
- Guide junior colleagues and coordinate the work of the wider team.
Requirements
- Master’s or Ph.D. degree in a quantitative field focused on data analysis, such as econometrics, AI, mathematics, physics, or another exact science.
- Previous fashion industry knowledge or experience; omnichannel management experience is preferred.
- Strong statistical knowledge and experience with SQL, BigQuery, NoSQL, R, Python, data visualization, and machine learning.
- Understanding of data engineering solutions is beneficial.
- 5–7 years of consulting or relevant industry experience, including at least 1 year at project lead level.
- Professional fluency in English and the ability to explain complex analytical concepts to business users.
Culture & Benefits
- Regular interaction with clients to drive impactful business change.
- Collaboration in multidisciplinary teams.
- Ownership of responsibilities and opportunities for continuous professional development.
- International and diverse work environment with colleagues from more than 50 nationalities.
- Focus on diversity, equity, inclusion, and belonging.
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