SAP Retail Forecasting & Inventory Data Scientist

SAP SE; Zürich; On-site; CHF 120,000 - 160,000; Full time

Benefits offered by this job

Learning & development opportunities

International team

Competitive benefits

Job summary

SAP SE seeks a data science professional to apply AI- and ML-powered forecasting to retail planning and inventory optimization. You will work with international retail customers, leveraging SAP Retail Intelligence and related data sources to deliver actionable insights and robust forecasting models.

You will engage in data preparation, feature engineering, model validation, and KPI design while collaborating with cross-functional teams to enhance end-to-end planning processes.

Qualifications

• Solid analytical background with practical experience in time series, statistics, ML and AI-enabled forecasting.
• Confident with SQL, databases, large data volumes, data models, and analytical questions.
• Interest in SAP Retail Intelligence, demand planning, AI topics and customer-facing consulting.

Responsibilities

• Support international retail customers in AI- and ML-enabled demand forecasting, replenishment and inventory optimization.
• Assess and prepare large data volumes for robust forecasting and KPI concepts; model monitoring and validation.
• Contribute to data integration between SAP components and heterogeneous data sources with governance.
• Collaborate with functional and technical teams to improve end-to-end demand planning and forecasting processes.
• Contribute to next-generation forecasting solutions and AI topics for Autonomous Enterprise initiatives.

Skills

Data Science

Time Series Analysis

Statistical Methods

Machine Learning

AI-enabled Forecasting

SQL

Data Modeling

Data Quality Management

Data Integration

Retail Forecasting

Retail Replenishment

Demand and Inventory Planning

SAP Retail Intelligence

SAP Customer Activity Repository

Unified Demand Forecast

AI Adoption Capability

AI Output Quality Assurance

AI-Assisted Automation and Prototyping

Education

Degree in Mathematics/CS/Data Science/Engineering

Tools

SAP Retail Intelligence

SAP Customer Activity Repository

Unified Demand Forecast

SAP Business Data Cloud

SAP Business Technology Platform

Job description

SAP SE seeks a data science professional to apply AI- and ML-powered forecasting to retail planning and inventory optimization. You will work with international retail customers, leveraging SAP Retail Intelligence and related data sources to deliver actionable insights and robust forecasting models.

You will engage in data preparation, feature engineering, model validation, and KPI design while collaborating with cross-functional teams to enhance end-to-end planning processes.