Senior Data Scientist focusing on ML systems for Walmart's Trust and Safety. Collaborating on compliance models and overseeing the full model lifecycle.
About the role
- Data Scientist analyzing complex IoT datasets to inform product and operational decisions at Jungheinrich. Collaborating with teams to develop insights and prototypes in a flexible, hybrid working environment.
Responsibilities
- 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
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