Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль сочетает руководство крупной AI-командой и разнообразные проекты для цепочек поставок, но клиентская работа и развитие бизнеса могут добавлять нагрузку консалтинга.
Клиентский консалтинг
Современный AI-стек
Крупная AI-команда
AI для логистики
Гибкий формат
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Science Manager (AI) (Supply Chain): Leading client engagements and multidisciplinary Data & AI teams that develop AI-driven forecasting, optimization, and analytics solutions for supply chain operations with an accent on generative AI, machine learning, and operational research. Focus on managing project execution, translating technical insights for senior stakeholders, developing commercial proposals, and driving supply chain efficiency and resilience.
Location: Madrid, Spain; additional locations in Barcelona and Gijon. Flexible hybrid work model.
Company
hirify.global is a global professional services company helping organizations optimize operations and build digital capabilities through technology, cloud, data, and AI.
What you will do
Lead client engagements and projects within the Data & AI for Supply Chain Center of Excellence.
Manage multidisciplinary teams of data scientists, engineers, and business consultants.
Oversee project execution and ensure AI-driven solutions deliver business value.
Build client relationships, communicate technical insights to senior stakeholders, and support business development.
Define project scopes, develop commercial proposals, and identify new opportunities.
Requirements
Bachelor’s or Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related field.
5+ years of experience in Data & AI or related fields, including at least 2 years in a leadership or managerial role.
Proven experience leading teams, client engagements, and business development efforts.
Proficiency in English.
Strong technical foundation in Python, R, SQL, operational research, simulation, machine learning, AI, and optimization algorithms; mastery of every listed technology is not required.
Experience with generative AI, including LLMs, AI-driven scenario generation, synthetic data modeling, and workflow automation.
Experience with Azure, AWS, or GCP and their AI/ML services.
Familiarity with supply chain tools such as o9, Blue Yonder, SAP IBP, or similar solutions.
Experience with large-scale data processing, platforms such as Databricks or Snowflake, and visualization tools such as Power BI, Tableau, or Looker.
Ability to lead multidisciplinary teams, connect AI solutions to business impact, communicate complex analytics to senior stakeholders, and drive innovation.
Culture & Benefits
Work alongside a Data & AI team of 200+ professionals, including data scientists and engineers.
Lead high-impact AI and analytics projects with global clients and contribute to generative AI innovation in supply chain.
Flexible hybrid work model and customized schedules.
Medical, life, and accident insurance, wellness programs, and medical services.
Flexible compensation programs, stock purchase plans, extra vacation days, sustainability initiatives, and diversity and inclusion networks.
Work for a Great Place to Work-recognized, globally established company.
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