28 дней назад
Data Science Lead (Fashion)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Lead (Fashion) (Python/Hadoop/SQL/R): Translating fashion business problems into impactful analytics solutions and overseeing client-facing data science projects with an accent on statistical analysis, programming, and stakeholder management. Focus on managing client relationships, guiding junior team members, and orchestrating multidisciplinary project delivery.
Location: Porto, Portugal
Company
develops solutions in Big Data, digital commerce, marketing, design, and advisory services. The role supports the HUGO BOSS Digital Campus and its 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 and help meet client expectations.
- Develop presentations and manage external relationships when needed.
- Identify opportunities beyond the scope of current projects.
- Guide junior team members and coordinate the work of the wider team.
Requirements
- 5–8 years of professional experience in analytics.
- Advanced degree in a quantitative field such as mathematics or computer programming.
- Strong analytical thinking, problem decomposition, hypothesis development, and data-based recommendation skills.
- Strong technical skills in data analysis, statistics, and programming, with working knowledge of Python, Hadoop, SQL, and/or R.
- Working knowledge of Python data tools, including Jupyter, Pandas, Scikit-Learn, and Matplotlib.
- Profound English proficiency required.
Nice to have
- Ability to communicate using the language of statistics, finance, and economics.
Culture & Benefits
- Regular interaction with clients and involvement in projects driving business change.
- Multidisciplinary and international working environment.
- Opportunities to take ownership, develop professionally, and grow a career.
- Diverse workplace focused on curiosity, collaboration, equity, inclusion, and belonging.
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