Forti di una storia lunga quasi di 150 anni, siamo in prima linea per ripensare e migliorare la vita di tutti i giorni. Oggi e per le generazioni future. Con l’aiuto dei nostri brand e delle nostre tecnologie innovative e sostenibili, in ogni team in tutto il mondo. Henkel occupa posizioni di leadership sia nel mercato al consumo che in quello industriale: Il nostro portafoglio include ben noti prodotti per la cura dei capelli, detersivi per il bucato, ammorbidenti, ma anche adesivi, sigillanti e rivestimenti funzionali.
Head of Applied Data Science (d/f/m)
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About this Position
What you´ll do
- Lead and develop a team of Data Scientists, taking pride in solving complex business challenges and delivering high-quality data products
- Translate business goals into analytics objectives and execute transition from proof of concept to scalable production solutions in close collaboration with cross-functional product teams
- Lead product teams in executing our Data & Analytics strategy while fostering an agile mindset and a culture of continuous learning, integrity, and shared accountability
- Explore emerging technologies with curiosity and passion, identifying opportunities to unlock their full potential and create business value
- Act as both a technical mentor and people manager, supporting the professional and personal growth of your team members
- Advance your team’s expertise, continuously deepen your knowledge to claim thought leadership in Data Science
- Establish yourself as a Data Science ambassador across business units and functions
What makes you a good fit
- Master’s degree in a STEM field (e.g. Physics, Mathematics, Bioinformatics, Computer Science); PhD is a plus
- Minimum 8 years of experience in Data Science, Advanced Analytics environment
- Solid track record of delivering data science products from idea to deployment
- Strong collaboration and communication skills with both technical and non-technical stakeholders
- Expert knowledge and hands-on experience in at least one of the following data science areas: supervised or unsupervised machine learning, optimization, statistical modelling, deep learning, time-series analysis, graph analytics for big data; Experience with AI is a plus
- Fluent in English
Some perks of joining Henkel
- Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
- Diverse national and international growth opportunities
- Global wellbeing standards with health and preventive care programs
- Gender-neutral parental leave for a minimum of 8 weeks
- Employee Share Plan with voluntary investment and Henkel matching shares
- Company Pension Plan 100% financed by Henkel
- MEGA Preventive Health Insurance
- CareFlex Supplementary Care Insurance
- Mobility offer: My Henkel Bike and Jobticket
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, generations and disabilities. If there are any specific accommodations or adjustments you require for the interview process or your on-site appointment, please inform us, and we'll do our best to accommodate your requests.
JOB ID: 26098635
Job Locations: Germany, North Rhine Westphalia, Düsseldorf
Contact information for application-related questions: Recruitment-Germany@henkel.com
Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted.
Application Deadline: As long as the vacancy is listed on our Career Site, we are happy to receive your application
Job-Center: If you have an application already, you can create or log in to your account here to check the status of your application. In case of new account creation, please use your email address that you applied with.
Chi siamo
FAQ
Sono interessato a più posizioni. Posso candidarmi per più posizioni allo stesso tempo?
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L’offerta di lavoro è scritta in inglese – dovrei candidarmi in inglese?
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