Data Scientist

Tasks

• Analyze forecast drivers and changes
• Build time series forecasting models for business metrics
• Collaborate with product analysts and business teams
• Conduct scenario what if analysis
• Design forecast evaluation frameworks
• Develop forecast monitoring capabilities
• Identify root causes of underperformance
• Implement anomaly detection
• Maintain production forecasting models
• Perform plan vs actual analysis
• Run systematic backtesting with rolling horizons
• Translate forecast outputs into actionable insights

Perks/Benefits

• Additional day off on birthday
• Annual vacation
• Coaching
• Flexible working hours
• Free language classes
• Hybrid work
• Mental wellbeing program
• Training opportunities

Skills/Tech-stack

Anomaly Detection | Backtesting | Cross-validation | Data Consistency | Data Quality | Data Quality Management | Data Validation | Data consistency checks | External Regressors | Forecast Explainability | Forecast evaluation | Machine Learning | Quality management | Rolling Horizon | Scenario Planning | Series forecasting | Time Series | Time Series Forecasting | Time series cross-validation | What If | What-if analysis