6 дней назад
Data Science Principal (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Principal (AI): Leading client-facing data science and analytics projects, translating business problems into analytical solutions and business decisions with an accent on statistical analysis, machine learning, and data lifecycle management. Focus on managing project delivery, guiding data science teams, and communicating complex analytical concepts to business stakeholders.
Location: Amsterdam, Netherlands
Company
is a global consulting firm delivering AI and data, digital commerce, marketing and design, and advisory solutions across multiple industries.
What you will do
- Manage client interactions and build long-term client relationships.
- Translate business problems into clear analytics solutions and turn analytical outputs into business decisions.
- Provide project management oversight, ensuring delivery quality and meeting client expectations.
- Prepare presentations and manage external stakeholder relationships.
- Advise client business leaders on data and analytics questions.
- Guide junior team members and coordinate the work and development of the broader 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.
- Strong statistical knowledge and the ability to structure complex information and identify major contributors in data.
- Experience with databases and analytical tools, including SQL, BigQuery, NoSQL, R, Python, Tableau, Power BI, and machine learning.
- At least 8 years of consulting or relevant industry experience, including 3 or more years at project lead level.
- Proven project management experience and the ability to guide expert and junior team members.
- Professional fluency in English is required.
Nice to have
- Understanding of data engineering solutions.
Culture & Benefits
- Regular interaction with senior client stakeholders and opportunities to drive impactful business change.
- Collaboration with data scientists across the full data lifecycle, from acquisition and cleaning to analysis and visualization.
- Work in a fast-growing, international, and diverse multidisciplinary team.
- Environment focused on curiosity, collaboration, diversity, equity, inclusion, and belonging.
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