Head of Applied Data Science (d/f/m)
发布于 大约 8 小时前中层管理(经理/总监)
AI 估算 · 62k–94k
德国数据科学主管级薪资，结合行业水平和职位等级，月薪约8000-12000欧元，按汇率折算人民币
职位详情
关于这个职位
This role leads a team of data scientists to solve complex business challenges, translating business goals into analytics solutions. You will drive product development from proof-of-concept to production, foster an agile culture, and act as a technical mentor while exploring emerging technologies like AI. The position is based in Düsseldorf, Germany, with flexible working options.
最低要求
Master's degree in a STEM field (e.g. Physics, Mathematics, Bioinformatics, Computer Science)
工作职责
Lead and develop a team of Data Scientists, taking pride in solving complex business challenges and delivering high-quality data products
优先资格
PhD is a plus
AI 洞察
优缺点分析
优点
- Competitive compensation and extensive benefits including pension plan, health insurance, and flexible work.
- Opportunity to work with cutting-edge technologies (AI, big data) in a global company.
- Strong emphasis on professional development and continuous learning.
- Flexible hybrid work model and work-from-anywhere policy up to 30 days per year.
- High expectations to deliver production-ready solutions and drive business impact.
- Managing a diverse team and navigating cross-functional collaboration.
- Keeping up with rapidly evolving AI/ML landscape and maintaining thought leadership.
- Experienced data science leaders who enjoy mentoring teams, tackling complex business problems, and working in a flexible, international environment.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to senior leadership roles like Director of Data Science or VP of Analytics.
- Transition into broader data & analytics strategy roles across the organization.
- Become a thought leader and subject matter expert in areas like AI and advanced analytics.
- Lead a team of data scientists to solve complex business problems and deliver data products.
- Translate business goals into analytics objectives and drive the transition from proof-of-concept to production.
- Act as a technical mentor and people manager, fostering an agile and learning culture.
- Explore emerging technologies like AI to create business value and act as a data science ambassador.
- Expert knowledge in machine learning, deep learning, statistical modeling, time-series, or graph analytics.
- Strong leadership and team development skills, with experience managing data science teams.
- Excellent communication and collaboration skills to work with both technical and non-technical stakeholders.
- Proven track record of delivering data science products from idea to deployment.
申请策略
- Research Henkel’s data & analytics strategy to align your application with their goals.
- Be prepared to discuss your approach to mentoring and fostering a culture of learning.
- Highlight your experience leading data science teams and delivering products from concept to deployment.
- Showcase your technical expertise in one or more key areas like ML, deep learning, or big data analytics.
- Emphasize your ability to translate business goals into analytics projects and communicate with stakeholders.
- Include any experience with AI and mention your leadership and mentoring achievements.
- Deepen your knowledge in AI and emerging technologies to stand out.
- Strengthen your people management and agile coaching skills.
面试指南
- Use the STAR method: Situation, Task, Action, Result for behavioral questions.
- For technical questions, explain your problem-solving process and how you balance innovation with practicality.
- Show your leadership philosophy: emphasize collaboration, empowerment, and agile mindset.
- How do you approach translating business goals into data science projects?
- Describe a time you led a team to deliver a complex data product from idea to production.
- How do you mentor junior data scientists and foster a culture of continuous learning?
- What emerging technologies in AI are you most excited about and how would you apply them here?
- How do you handle conflicts between business needs and technical feasibility?
职位点评
Senior data science leadership role in Germany with excellent benefits, flexible work, and cutting-edge tech focus.
从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。
薪资福利
The role offers competitive salary (though not specified), excellent benefits including pension, health insurance, and employee share plan, typical for a senior leadership position in Germany.
成长发展
The position offers strong growth opportunities through leading a team, working with cutting-edge AI/ML technologies, and having access to diverse internal growth programs. The JD emphasizes continuous learning and thought leadership.
工作生活
Flexible work scheme with hybrid model and work-from-anywhere policy; location in Düsseldorf offers good work-life balance. Benefits include mobility offers and wellbeing programs.
使命价值
Working for a global company like Henkel, which focuses on sustainability and innovation, provides a sense of purpose. However, the JD does not strongly emphasize social or environmental impact.
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