Data Scientist

About The CompanyDeichmann SE is a family-owned enterprise with a strong international presence, operating over 4,700 stores across 34 countries. With an annual turnover exceeding 8.7 billion euros, Deichmann is recognized as one of Europe's leading online shoe retailers. The company is committed to innovation, growth, and sustainability, providing employment to more than 49,000 dedicated professionals worldwide.

As a continuously expanding organization, Deichmann SE offers its employees secure and rewarding career opportunities, fostering a culture of development and excellence.About The RoleWe are seeking a highly skilled Data Scientist (m/w/d) to join our Data & Analytics team at Deichmann SE. In this role, you will be instrumental in developing end-to-end analytics products that directly influence business decisions. Your expertise will help build predictive models, optimization algorithms, and data-driven solutions to support various departments such as Omnichannel, Marketing, CRM, Pricing, Purchasing, and Logistics.

You will collaborate closely with cross-functional teams to translate business requirements into technical solutions, ensuring the delivery of actionable insights and innovative data products.The ideal candidate will have a strong background in data science, machine learning, and software engineering principles. You will work in a modern cloud environment utilizing technologies like Python, SQL, Databricks, MLflow, and Airflow. Your contributions will help enhance our business processes, improve customer satisfaction, and foster a data-driven culture within the organization.QualificationsTo succeed in this role, you should possess a completed degree in a STEM field and have at least five years of professional experience in data science or data analytics, preferably within the retail or fashion industry.

You should have solid knowledge of statistics, time series forecasting, and proficiency in Python and SQL. Experience with software and machine learning engineering practices—including model development, testing, versioning, CI/CD, deployment, and monitoring—is essential.You should be familiar with modern data platforms such as Azure, Databricks, Airflow, and Power BI, and have a good understanding of MLOps principles. Excellent communication skills are required, with the ability to articulate complex insights clearly to diverse audiences.

Fluency in German is mandatory, and good English skills are also expected.ResponsibilitiesDevelop and implement comprehensive analytics products within interdisciplinary teams, managing projects from initial concept to operational deployment.Create forecasts, optimization algorithms, and other data-driven solutions to support strategic business decisions, ensuring their ongoing operation and refinement.Conduct in-depth analyses using statistical methods, machine learning, and data visualization techniques, presenting findings and recommendations to stakeholders.Ensure the reliable operation of models in production, including performance monitoring, error analysis, and iterative improvements.Design data structures for analytical solutions and oversee their technical implementation, ensuring scalability and efficiency.Engage closely with business and IT stakeholders to translate requirements into technical solutions, communicating results effectively to non-technical audiences.Benefits30 days of vacation per yearFlexible working hours to promote work-life balanceOption for remote work on selected daysDiscounted DeutschlandTicket for public transportationCompany-sponsored retirement plansAccess to childcare facilitiesOn-site Bistro for meals and breaksEmployee discounts on products and servicesSupport fund for various needsOpportunities for training, seminars, and professional developmentComprehensive health management programsCompany events fostering team spirit and collaborationAs a Data Scientist (m/w/d), you will strengthen our Data & Analytics unit by actively contributing to the development of data-driven products that impact business strategies. Working closely with various departments, you will help create solutions on a modern cloud platform, utilizing technologies such as Python, SQL, Databricks, MLflow, and Airflow. Our focus is on enhancing our business operations and increasing customer satisfaction through innovative data applications.Equal OpportunityDeichmann SE is committed to fostering an inclusive and diverse workplace.

We provide equal employment opportunities regardless of gender, age, ethnicity, religion, disability, or sexual orientation. We believe that a diverse team enhances creativity, innovation, and overall company success. We welcome applications from all qualified candidates who are eager to contribute to our dynamic and growing organization.