Data Scientist (m/f/d)

Tasks

• Analyze forecast drivers and changes
• Build time-series forecasting models
• Collaborate with product managers analysts and business teams
• Conduct plan vs actual root cause analysis
• Design forecast evaluation frameworks
• Develop forecast monitoring and anomaly detection
• Evaluate forecast accuracy stability and comparability
• Identify deviations and underperformance causes
• Implement scenario what if analysis
• Maintain production forecasting models
• Perform rolling horizon forecasting
• Run systematic backtesting
• Translate forecast outputs into business insights

Perks/Benefits

• Annual vacation
• Birthday day off
• Coaching
• Flexible working hours
• Free English classes
• Free German classes
• Hybrid work
• Mental wellbeing program
• Training opportunities

Skills/Tech-stack

Anomaly Detection | Cross-validation | Data Quality | Data Validation | Data validation checks | External Regressors | Forecasting | Scenario Analysis | Time Series | Time series cross-validation | Validation checks | What If | What-if analysis