Data Scientist

About The CompanySSI Schäfer Automation GmbH is a globally recognized provider of innovative intralogistics solutions, committed to enhancing efficiency and sustainability across warehouse, picking, and transportation processes. As a family-owned enterprise, we invest deeply in the expertise, passion, and talents of our employees, fostering a collaborative and growth-oriented environment. Our comprehensive portfolio ranges from fully automated warehouses with tailored maintenance and service offerings to manual and semi-automated systems, providing end-to-end intralogistics solutions from a single source.

Additionally, we have established ourselves as a leading provider of software for internal material flow management. With more than 8,800 employees worldwide, operating across approximately 80 subsidiaries and seven manufacturing sites, SSI Schäfer Automation GmbH serves diverse industries with customized solutions designed to meet specific logistical challenges. We are dedicated to maintaining our leadership position through continuous innovation, quality, and customer satisfaction, making us an attractive long-term employer for professionals seeking meaningful and impactful work.About The RoleAs a Senior Data Scientist (m/w/d) at SSI Schäfer Automation GmbH, you will play a pivotal role in driving forward innovative projects within the field of intralogistics.

This position involves working in an interdisciplinary, international environment where cutting-edge technologies and research are integrated to develop solutions that optimize our logistics processes. You will be responsible for leading complex data science initiatives, from conception through implementation, ensuring alignment with business objectives. Your expertise will be crucial in developing sophisticated algorithms and machine learning models, including large language models (LLMs), to address real-world logistical challenges.

You will actively stay informed about the latest advancements in research and industry best practices, proposing strategies to improve project efficiency and effectiveness. As a key internal resource, you will share your knowledge with colleagues, fostering a culture of continuous learning and innovation. Additionally, you will represent SSI Schäfer at relevant industry conferences and events, showcasing our technological leadership and contributing to our reputation as a forward-thinking organization.QualificationsThe ideal candidate holds a university degree in Informatics, Mathematics, Statistics, or a related field, with at least five years of professional experience in data science, particularly focusing on large language models (LLMs).

Travel flexibility is required for client meetings, conferences, or collaborative projects. Expertise in natural language processing (NLP), LLMs, and agentic AI is essential, along with strong programming skills in Python and relevant libraries such as Pandas, NumPy, and SciPy. Proficiency in SQL and experience with frameworks like Hugging Face, LangChain, and scikit-learn are necessary.

A foundational understanding of MLOps, including deployment tools like Docker and Kubernetes, and CI/CD pipelines, is also important. Knowledge of intralogistics processes and their specific challenges will be advantageous. Familiarity with cloud platforms, especially Azure, and software engineering practices will support successful project execution.

The role requires a self-driven, customer-oriented, and adaptable working style, with a passion for exploring new topics. Analytical thinking, creativity, a proactive "Can Do" attitude, and fluency in German (minimum C1) and English (minimum C1) are mandatory for effective communication and collaboration.ResponsibilitiesLead and manage innovative data science projects within the intralogistics domain, ensuring alignment with strategic business goals.Design, develop, and evaluate complex algorithms and AI/ML models, including large language models, to solve logistical challenges.Stay abreast of the latest research developments and technological advancements in AI, NLP, and related fields, integrating relevant insights into ongoing projects.Implement best practices to enhance the efficiency, scalability, and robustness of data science initiatives.Collaborate with cross-functional teams, sharing expertise and fostering a culture of continuous learning and improvement.Represent SSI Schäfer at industry conferences, seminars, and events, promoting our technological leadership and innovative capabilities.Support the deployment and integration of models into production environments, ensuring operational stability and performance.Contribute to the development of internal standards, documentation, and knowledge-sharing platforms related to data science and AI.BenefitsComprehensive and supported professional development programs to foster continuous learning.Flexible working hours to promote work-life balance.Participation in company-sponsored events and team-building activities.Access to extensive health management initiatives and wellness programs.Mentorship programs to support onboarding and career growth.Meal allowance or subsidy to support daily nutrition.Free parking facilities on-site for convenience.Options for business bike leasing to promote sustainable commuting.Opportunities for mobile working, enabling flexible remote work arrangements.Company-sponsored retirement plans to secure your financial future.Note: Benefits may vary depending on the location and specific role requirements.Equal OpportunitySSI Schäfer Automation GmbH is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all applicants and employees regardless of gender, age, ethnicity, religion, disability, sexual orientation, or other protected characteristics.

We believe that a diverse workforce enriches our organization and enhances our ability to serve our customers effectively. We encourage qualified individuals from all backgrounds to apply and join our team, supporting our mission to innovate and excel in intralogistics solutions.