Data Scientist

About The Company

As a privately financed family business, Deichmann SE operates one of the largest retail networks with approximately 4,700 stores across 34 countries. The company generates an annual turnover of over 8.7 billion euros and is recognized as one of Europe's most successful online shoe retailers. Deichmann is a pioneer in the industry, fostering innovation and providing employment opportunities for over 49,000 dedicated employees worldwide. With a strong focus on sustainable growth, Deichmann has established a secure and stable working environment for its staff over several decades, emphasizing long-term development and corporate responsibility.

About The Role

We 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 data-driven products that directly influence business decisions across various departments including Omnichannel, Marketing, CRM, Pricing, Purchasing, and Logistics. You will be responsible for creating end-to-end analytics solutions, from conceptualization to deployment, utilizing modern cloud-based platforms and tools. Your work will help optimize operational efficiency, enhance customer satisfaction, and support strategic initiatives by leveraging advanced statistical methods, machine learning, and data visualization techniques.

As part of our team, you will collaborate closely with business stakeholders and IT specialists to translate complex requirements into effective analytical solutions. Your insights will contribute to building a smarter, more responsive business environment, ultimately driving growth and innovation within the company. This position offers an exciting opportunity to work at the forefront of retail analytics, utilizing cutting-edge technologies such as Python, SQL, Databricks, MLflow, and Airflow to create impactful solutions.

Qualifications

To be successful in this role, you should possess a solid academic background with a completed degree in a STEM field (Mathematics, Computer Science, Data Science, or related disciplines). You should have at least five years of professional experience in Data Science or Data Analytics, preferably within the retail or fashion industry. Strong proficiency in statistics, time series forecasting, Python, and SQL is essential. Additionally, familiarity with software engineering principles related to machine learning---including model development, testing, versioning, CI/CD pipelines, deployment, and monitoring---is required.

You should have hands-on experience with modern data platforms such as Azure, Databricks, Airflow, and Power BI, along with a good understanding of MLOps fundamentals. Excellent communication skills, pragmatic problem-solving ability, and the capacity to quickly adapt to new domains and technologies are vital. Fluency in German is mandatory, and good English skills are expected to facilitate collaboration across international teams.

Responsibilities

• Develop end-to-end analytics products within interdisciplinary teams, from initial concept through proof of concept (PoC) to operational deployment.
• Create and maintain forecasts, optimization algorithms, and other data products that support strategic and operational decision-making processes.
• Perform analysis using statistical methods, machine learning, and data visualization tools, and communicate findings effectively to stakeholders, providing actionable insights and recommendations.
• Ensure the reliable operation of deployed models by monitoring performance, analyzing errors, and iteratively improving the models and associated processes.
• Design data structures suitable for analytical products and oversee their technical implementation, ensuring scalability and robustness.
• Engage closely with business and IT stakeholders to gather requirements, translate them into technical solutions, and present results in an understandable manner tailored to different audiences.

Benefits

• 30 days of annual leave to support work-life balance.
• Flexible working hours to accommodate personal and professional commitments.
• Option for remote work on a day-to-day basis, promoting a healthy hybrid working environment.
• Discounted Germany Ticket for public transportation to ease daily commute.
• Company-sponsored retirement plan to secure your future.
• Access to childcare facilities, supporting employees with families.
• On-site Bistro for convenient meals and socialization.
• Employee discounts on products and services.
• Support fund for personal development and further education.
• Comprehensive health management programs to promote well-being.
• Company events fostering team spirit and corporate culture.

As a Data Scientist (m/w/d) at Deichmann SE, you will play a key role in driving data-driven innovations that enhance our business operations and customer experiences. You will work with modern cloud platforms and advanced analytics tools to develop solutions that have a tangible impact across the company's global footprint. Join us and contribute to shaping the future of retail through data excellence.

Equal Opportunity

Deichmann SE is committed to creating a diverse and inclusive work environment. We value and respect individual differences and believe that diverse teams foster innovation and better decision-making. We encourage applications from all qualified candidates regardless of gender, age, ethnicity, disability, or background. Our hiring practices are designed to promote equal opportunity and ensure a fair and transparent selection process.