Jungheinrich AG

Data Scientist

Jungheinrich AG

full-time

Posted on:

Location Type: Hybrid

Location: Zagreb • 🇭🇷 Croatia

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformIoTMongoDBNoSQLNumpyPandasPostgresPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • 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

Requirements

  • 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)
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencestatisticsmachine learningprobabilistic modelingPythonPandasNumPyScikit-learnSQLNoSQL
Soft skills
problem-solvingcommunicationcuriosityownershipcollaborationfeedbackiterationcontinuous improvementeagerness to learnmentorship
Certifications
masters degreePhD