Data Scientist (AI) for Demand Forecasting (m/f/d)

Job Description

Key Responsibilities:

• You will apply advanced statistical and machine learning techniques to transform raw data into actionable demand signals, directly influencing procurement, logistics, and financial strategy across all departments.
• You will be responsible for the forecasting engine and will join an international team.
• You will be responsible for following main duties:
  • Algorithm Design: Develop and tune time-series models ranging from classical econometric approaches (ARIMA, Exponential Smoothing) to modern ML (XGBoost, LightGBM) and deep learning (Temporal Fusion Transformers, N-BEATS).
  • Hierarchical Forecasting: Implement reconciliation methods (bottom up, top down, or MinT) to ensure forecasts are consistent across different levels of the product hierarchy (SKU, product hierarchy, region).
  • Experimentation: Conduct rigorous back-testing and A/B testing of model versions to quantify the reduction in safety stock requirements and out-of-stock incidents.
  • Insight Communication: Develop dashboards that visualize forecast results, uncertainty, and explainable AI (XAI) outputs to build trust with non-technical stakeholders.
  • Optimization: Work with the Data Engineer to optimize model inference times.

Qualifications

• Master’s degree in computer science, applied mathematics, machine learning or a similar quantitative field.
• At least 5 years of proven practical experience in Python (including polars, scikit-learn) and machine learning algorithms is a must.
• Proven practical experience in time-series forecasting, including profound knowledge of seasonality, trend decomposition, and handling typical problems like ramp-ups and ramp-downs is a must.
• Expert in building robust and automated data pipelines with ETL tools.
• Proven practical experience in analyzing requirements and processes to design solutions based on them.
• Practical experience with SQL, Python, Git and PowerBI.
• Proven practical experience in R and R Shiny is a plus.
• Very good quick comprehension.
• Analytical, structured and conceptually strong working methodology.
• Strong ability to express complex concepts in a comprehensible language for non-specialists.
• Very good command of English (both written and spoken) and very good communication skills.

Additional Information

What we offer:

Pay for Performance:

• Achievement Bonuses and Rewards;
• Recommendation Bonuses for new team members;
• Flexibility Program including flexible hours, mobile work and sabbaticals.

Wellbeing:

• Health & Wellness (Private Health Insurance, Life Insurance, Sport activities etc.);
• Different discounts (glasses, tires, medical, shopping);
• In-house restaurant & coffee corners.

Life-Long Learning:

• Dedicated Programs and Conferences;
• Free Language Courses (English, German, French etc);
• Access to e-learning platforms;
• Career development opportunities (local and international);
• Internal development communities (Experts, Agile Community of Practice, Artificial Intelligence etc).