Supply Chain Data Scientist - Forecasting & Inventory Optimization (m/f/d) Job Details | MediaM[...]

MediaMarktSaturn; Ingolstadt; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading omnichannel retailer in Ingolstadt seeks a professional to enhance supply chain efficiency through advanced analytics and modeling. The ideal candidate will have strong skills in data science and experience in supply chain contexts, with the ability to collaborate across departments. Fluency in English is required, and German is an advantage. Join the team to drive innovation in a dynamic environment.

Qualifikationen

• Several years’ experience in supply chain analytics or demand forecasting.
• Advanced proficiency in Python or R for analytics and predictive modeling.
• Strong SQL skills and experience handling large datasets.

Aufgaben

• Design and maintain statistical and machine learning models.
• Analyze large-scale supply chain data to detect trends and opportunities.
• Collaborate with stakeholders to embed predictive models into processes.

Kenntnisse

Python

R

SQL

Time series forecasting

Machine learning

Data visualization

Problem-solving

Collaboration

Fluent in English

Ausbildung

Bachelor’s/Master’s in Data Science, Statistics, or related field

Tools

SAP

RELEX

Tableau

Power BI

Gurobi

Jobbeschreibung

Your Tasks

• Design and maintain statistical and machine learning models for demand forecasting and inventory optimization
• Analyze large-scale supply chain data (SAP, RELEX, sales) to detect trends, anomalies, and improvement opportunities
• Build decision‑support tools and dashboards for replenishment, planning, and inventory management
• Collaborate with Operations, IT, Category Management, and other stakeholders to embed predictive models into supply chain processes
• Monitor and improve KPIs such as forecast accuracy, inventory turns, stock availability, and system usage
• Lead research initiatives on new forecasting techniques, optimization models, and technologies
• Support automation of manual processes, including user training and change management
• Contribute to continuous improvement by identifying and implementing best practices

Your Profile

• Bachelor’s/Master’s in Data Science, Operations Research, Industrial Engineering, Statistics, Mathematics, Supply Chain Management, or related field
• Several years’ experience in supply chain analytics, demand forecasting, or inventory optimization (retail or FMCG preferred)
• Advanced proficiency in Python or R for analytics and predictive modeling
• Strong SQL skills and experience handling large datasets
• Knowledge of time series, machine learning forecasting, and inventory optimization techniques
• Familiarity with optimization tools (e.g. Gurobi, SAS)
• Strong quantitative and problem‑solving skills, with ability to communicate complex analytics clearly
• Collaborative, proactive, and adaptable mindset
• Fluent in English, fluency in German is an advantage

Preferred Qualifications

• Experience applying machine learning or large language models in business or supply chain contexts
• Experience with data visualization tools (Tableau, Power BI, Looker, Google Data Studio)
• Experience with ERP and replenishment systems (SAP, RELEX)
• Familiarity with orchestration tools (Terraform)
• Knowledge of omni-channel retail or e-commerce environments

About Us

We are a dynamic Demand & Supply Planning team driving a major transformation. Our mission: build a fully automated, data-driven supply chain that delivers efficiency, innovation, and outstanding customer experiences. With advanced systems and bold thinking, we automate processes end-to-end, eliminate inefficiencies, and stay ahead of market demands—strengthening our position as a leading omnichannel retailer. Every team member shapes this journey. We invest in people, empower growth, and celebrate success together. Join us to redefine what’s possible in supply chain and make a real impact every day.

Additional Benefits Job Infos

• Location: Ingolstadt
• Company: MediaMarktSaturn Deutschland
• Department: HQ - Group Indirect Procurement & Category Management
• Entry level: Professional Level
• Type of Employment: Full Time
• Working Hours: 37,5
• Recruiter: Lea Theresa Ellerich