Palantir Data Science Engineer (m/f)

  • Henkel AG
  • Düsseldorf, Germany
  • 02/01/2019
Full time Data Science Data Engineering Machine Learning Data Analytics Big Data Business Intelligence Data Management Statistics Software Engineering

Job Description

At Henkel, you can make a difference and craft your career. That’s why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us.

YOUR ROLE

  • 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

YOUR SKILLS

  • 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