Your Tasks
- Deliver measurable commercial impact through personalization, customer intelligence, and decision intelligence
- Contribute to building decision intelligence and customer intelligence roadmap by applying advanced ML driving optimized business impact
- Build predictive, prescriptive, and optimization models to improve business performance and operational efficiency.
- Develop recommendation systems, forecasting models, customer segmentation, demand prediction, inventory optimization, and other AI-powered retail solutions.
- Collaborate with Data Engineers and ML Engineers to build scalable data pipelines, feature stores, and production-ready ML solutions using Google Cloud Platform (BigQuery, Vertex AI).
- Evaluate, monitor, and continuously improve model performance while ensuring business value.
Your Profile
- Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Operations Research, or a related quantitative field.
- Proven experience developing, deploying, and optimizing recommendation systems, ranking algorithms, personalization engines, customer intelligence solutions or large-scale predictive models.
- Strong experience in e-commerce, marketplaces, digital products, media and retail technology or customer-facing AI systems
- Excellent programming skills in Python and SQL, with experience processing large-scale structured and unstructured datasets.
- Hands-on experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and modern MLOps practices.
- Experience with machine learning frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
- Familiarity with Generative AI, LLMs, embeddings, and recommendation systems is a strong advantage.
- Strong analytical and problem-solving skills with the ability to translate business needs into AI solutions.
- Excellent communication and stakeholder management skills, with the ability to explain complex concepts to both technical and business audiences.
- A collaborative mindset, curiosity, and a passion for leveraging data and AI to create measurable business impacts.
About Us
We are looking for an experienced Data Scientist to build AI-powered decision intelligence and recommendation systems that improve customer experience, personalization, and operational decision-making across one of Europe's largest omnichannel retailers.
As part of our Decision Intelligence team, you will develop machine learning models, optimization algorithms, and AI solutions that enable smarter decisions across operations, supply chain, inventory management, pricing, merchandising, customer intelligence, marketing, and digital commerce.
You will work closely with business stakeholders, product managers, data engineers, and analytics teams to translate business challenges into scalable AI products deployed on Google Cloud Platform (GCP).
Our best solutions arise when diverse perspectives come together. Diversity is key to achieving our vision of becoming the Experience Champion in Consumer Electronics. We value diversity, promote equal opportunities, and foster inclusion – join our team!
Additional Benefits
Job Infos
Location: Ingolstadt
MediaMarktSaturn Retail Group
Department: HQ - Priorization Management & CDO
Entrylevel: Professional Level
Type of Employement: Full Time
Working Hours: 37,5
Persona: Job Requisition HQ Employee
Recruiter: Lea Ellerich
Recruiter: Lea Theresa Ellerich
Ready for a job where you look forward to Monday?
Let’s Go!
For us "Let's Go!" is not just a slogan, it is an attitude. We love technology and we want to excite. We have fun and want to inspire. Our customers and our teams. That’s why we are looking for people who share this spirit. People who are passionate about creating the shopping experience of the future together with 50.000 colleagues across Europe.
Let's
Go!
Ready? We are looking forward to receiving your application!
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