Data Scientist f/m/d

Data Scientist f/m/d 

This is your chance.

With over 30 years of experience in the development of software & digital products, Jungheinrich offers a broad portfolio and comprehensive expertise in the areas of warehouse, fleet, device, process, and interface management. Our solutions cover all aspects of intralogistics and adapt flexibly to the requirements of our customers. Our international colleagues work across locations on modern and future-proof digital systems for the flexible interconnection of warehouse components, from hardware to software.

Set things in motion.

• Dive into large, complex IoT datasets to uncover trends, anomalies and opportunities that inform product- and operational decisions.


• Use statistical and machine learning techniques to surface meaningful patterns, relationships or indicators that shape better product experiences and create meaningful impact for customers.


• Contribute to Product Discovery & Development
  Work hand-in-hand with product teams during the discovery & development phase: framing problems, identifying opportunities, and evaluating what’s worth building.


• Develop lean, targeted PoCs to validate ideas quickly, refine what works and pave a clear path towards stable, production-ready customer solutions.


• Validate & Collaborate in the Real World
  Partner with sales, customer-facing teams, and product owners to test assumptions early, validate the value of insights, and co-create solutions that customers will use.


• Ability to take ownership of the prototyping process - from defining objectives and setting clear goals to delivering a functional, shippable prototype - while embracing feedback and iterating for continuous improvement.

Use your skills.

• A masters’ degree or PhD in a related field


• 3+ years of hands-on experience in data science, Foundation in statistics and machine learning - both theory and practice


• Familiarity with or willingness to learn probabilistic modelling techniques (e.g. Bayesian inference, probabilistic programming or uncertainty quantification) or interest in learning them as a key skill


• Hands-on experience with Python (preferred), and common data science libraries (e.g., Pandas, NumPy, Scikit-learn)


• Familiarity with SQL and NoSQL databases (e.g. PostgreSQL, MongoDB).


• Solid grasp of data wrangling, exploratory data analysis and experiment design


• Curiosity-driven mindset with strong problem-solving skills and a willingness to experiment


• Clear and concise communication skills, especially when explaining data findings to non-technical teammates


• Eagerness to learn, grow and be mentored - especially in shaping data science that’s actionable, practical, and valuable


• Excellent knowledge of English


• Nice to have: 
  
  
  
  • Experience with IoT data or time-series data, especially in manufacturing, logistics, or intralogistics.
  
  
  • Exposure to cloud platforms (AWS, GCP, Azure) or machine learning frameworks (TensorFlow, PyTorch), big data processing tools (Spark or Databricks).
  
  
  
           Interest in product thinking and early-stage problem framing

Gain More.

• Attractive salary depending on your qualifications and experience


• Flexible working hours and the opportunity of working from home


• A pleasant working atmosphere with a "first-name" culture in a company where employees come first


• Challenging, independent work in an innovative, creative environment


• Language courses


• Health and recreation benefits


• Family incentives


• Healthy snack and coffee for free in a brand-new office in Zagreb


• Lots of internal events - so that we don't miss out on having fun together


• Professional and personal training opportunities for your further development