4 дня назад
Data Analytics, Data Science & AI Manager (D/F/M)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Analytics, Data Science & AI Manager (D/F/M) (AI/Data Science): Designing and deploying end-to-end data products, automated workflows, and enterprise AI models for procurement operations, cabin supply chain, and quality with an accent on predictive engineering, data architecture, and operational analytics. Focus on architecting intelligent automation, leading data engineering and governance, and applying machine learning, natural language processing, and computer vision to improve efficiency, cost, and quality.
Location: Hamburg Area, Germany, at ’s largest civil-aircraft production site. Flexible working arrangements include mobile working, flextime, and part-time options.
Company
develops and manufactures civil aircraft and operates in a diverse, international aerospace environment.
What you will do
- Develop AI strategies, intelligent automation workflows, and decision-support systems for procurement operations, cabin supply chain, and quality.
- Lead data architecture, data modeling, engineering pipelines, governance, and data quality across analytics products.
- Design and deploy end-to-end data products, predictive analytics solutions, and enterprise AI models.
- Act as the technical interface between operational business units, executive stakeholders, and IT and data engineering teams.
- Identify opportunities to apply machine learning, natural language processing, and computer vision to improve efficiency, cost, and quality.
Requirements
- Master’s degree in Data Science, Computer Science, Artificial Intelligence, Business Analytics, Operations Research, or a related quantitative field.
- Deep expertise in data engineering, data modeling, and business intelligence tools such as Skywise, Power BI, or Tableau.
- Experience leading data science initiatives in aerospace, automotive, supply chain, or complex manufacturing.
- Advanced proficiency in Python and production-grade SQL.
- Knowledge of Lean, Six Sigma, Agile, or Scrum methodologies and the ability to communicate technical concepts to executive and cross-functional audiences.
- Fluent English is required; German is beneficial.
Nice to have
- Hands-on experience deploying machine learning algorithms, predictive analytics, or enterprise AI and LLM solutions in operational environments.
- Knowledge of R or additional programming languages.
Culture & Benefits
- Permanent employment with attractive compensation and additional benefits, including a company pension scheme, mobility offers, and corporate discounts.
- 30 days of annual leave based on a 35-hour collective-agreement work week.
- Flexible working hours, mobile working, part-time options, job sharing, and sabbaticals.
- Professional development opportunities and international, group-wide career perspectives.
- Health programs, an on-site company doctor, cafeteria facilities, and childcare at selected locations.
- Diverse and inclusive environment with more than 140 nationalities.
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