Rohlik
Head of Applied Science
Salary not disclosed8+ yearsHybrid
- Engineering
- Germany
- Full time
- 6d ago
About the role
The Head of Applied Science will lead the unification of Forecasting and Optimization into a single high-performing function at Rohlik. This role involves defining the strategic roadmap for automating operational decisions across purchasing, fulfillment, and workforce scheduling to drive business outcomes. You will report directly to the Group CTO and foster an AI-first environment, leveraging modern agentic workflows to deliver measurable financial and operational impact.
Responsibilities
- Own the business results delivered by the forecasting and optimization portfolio and track financial impact in production.
- Define the strategic roadmap for automating decisions across purchasing, fulfillment center planning, and workforce scheduling.
- Set technical standards for problem framing, method selection, production MVPs, and reliability monitoring.
- Merge Forecasting and Optimization teams, set hiring standards, and develop ML engineers and applied scientists.
- Partner with operations managers, product owners, and engineering leads to align on business metrics and system integration.
Required skills
- Machine learning
- Forecasting
- Operations research
- Python
- SQL
- Time-series forecasting
- Mathematical optimization
- Production pipelines
- Backtesting
Nice to have
- E-commerce
- Supply chain
- Logistics
- GCP
- Snowflake
- BigQuery
- ZenML
- Vertex AI
Qualifications
- M.S. or Ph.D. in Operations Research, Computer Science, Statistics, Applied Mathematics
- Equivalent practical experience
Benefits
- Subsidised meals
- Paid vacation days above statutory
- Flexible scheduling
- Peer-recognition credits
- Private health insurance
- Company car
- Fuel support
- Premium membership
About the Company
Rohlik is the leading Central European e-grocer, serving over a million customers across five countries. The company operates an automated, AI-first environment where models drive inventory, scheduling, and logistics decisions to ensure efficient warehouse operations and timely deliveries.