Palantir Data Science Engineer (m/f) - henkel - Düsseldorf - Wizbii

Palantir Data Science Engineer (m/f)

  • Durch henkel
  • Düsseldorf (Deutschland)
  • Informationssysteme

Job description

Henkel operates worldwide with leading brands and technologies in three exciting business areas: Laundry & Home Care, Beauty Care and Adhesive Technologies. Our success is built on constant innovation and people who strive for excellence. Working at Henkel is much more than just a job. It's a passion. Have you got what it takes?

The "Analytics Center of Excellence" is embedded in the Henkel in-house consulting organization. We are a truly international team of experts in data science and data engineering, implementing analytical use cases along the entire value chain of Henkel for its business units and functions, from product innovation to customer facing applications. We apply the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel's digitalization strategy.

What we offer

· Highly dynamic international working environment with great team spirit and the opportunity to drive Henkel's digitalization
· Modern, hybrid analytics and big data platform based on the latest technologies and tools to ingest, process and manage data
· Exciting journey to move analytics and big data entirely to the cloud and leverage the enormous capabilities of an elastic platform
· Data from many sources (ERP system, web, social, sensors, IoT devices etc.) in many formats
· Challenging projects across the company in varying areas from biology, Industry 4.0, marketing and up to financial topics from complex data processing up to GPU-powered deep learning applications
· Agile work in small expert teams to identify, understand, structure and solve complex data driven business problems
· Active role in the further development of the analytics and big data setup at Henkel

Seeked profile

Qualifications :

Who we are looking for

·  University degree in Computer Science, Mathematics, Physics, Business Administration or comparable; experienced practitioners also welcome
·  At least 2 years' working experience in the area of data engineering, data science or business intelligence
·  Complete data value chain knowledge: ingesting raw sources, writing data integrations, harmonizing them into a common ontology to create “golden” datasets, scheduling and monitoring builds, verifying data quality, creating dashboards and training machine learning models as well as operationalizing them
·  Very good understanding of data and big data management systems, creative sense for data and what can we do with it
·  Good working knowledge in Python, our main data wrangling language, as well as a good working experience with code versioning (git); experience with Spark, Scala, Java and/or JavaScript or other programming languages is of advantage; coding is key, we strongly believe in the “everything as code” concept.
·  Experience with Machine Learning is a big plus
·  Good understanding of cloud technologies and modern computing environments like Docker
·  Fluent English and German skills
·  Excellent and pragmatic problem-solving skills

Apply online if this sounds like your next challenge. Click on apply and get one step closer to starting your new job at Henkel.

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About henkel

Crée en 1876, Henkel est devenu le leader sur les marchés internationaux de la grande consommation et de l’industrie. Le groupe est présent dans le monde entier avec les plus grandes marques et des technologies dans 3 domaines : Laundry & Home Care, Beauty Care, et les Adhesive Technologies.

L’entreprise dont le siège social international est basé à Düsseldorf en Allemagne emploie plus de 47 000 personnes dans le monde entier et a réalisé un chiffre d’affaire de 16, 5 milliards d’euros en 2012. Henkel dispose aujourd’hui d’une position forte notamment grâce à ses marques mondialement connues tels que Schwarzkopf, Loctite ou encore Pattex. Henkel s’est implantée en France en 1967 et connaît depuis une progression remarquable puisqu’elle à vu son chiffre d’affaires multiplié par 40 depuis 1970.


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