Responsibilities Lead end-to-end implementation and migration projects for enterprise clients Define and document target architectures, integrating SCAYLE with client systems (ERP, PIM, CRM) Provide guidance on SCAYLE platform capabilities, APIs, and composable commerce Translate business requirements into technical specifications and actionable work packages Collaborate with external partners to ensure delivery quality and standards compliance Review and validate integrations: REST APIs, webhooks, and asynchronous data flows Support cross-functional teams in resolving technical blockers Requirements Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field 5+ years in enterprise ecommerce architecture, digital consulting, or technical lead roles Proven experience leading large-scale SaaS or MACH replatforming projects Deep knowledge of e-commerce architectures: Storefronts, OMS, PIM, CMS, ERP ntegrations Expert in MACH principles (Microservices, API-first, Cloud-native, Headless) Hands-on experience with REST APIs, webhooks, and event-driven architectures Strong problem-solving, consultative mindset, and clear communication skills YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.
Responsibilities Lead and steer complex replatforming projects independently Manage System Integrators and external partners to meet SCAYLE standards Ensure smooth connectivity and operation of customer environments post-go-live Own project lifecycle from planning to rollout, including budget and resource management Collaborate with internal and external stakeholders to align priorities and expectations Maintain transparent communication, progress tracking, and documentation throughout projects Apply agile methods to drive timely decisions and efficient execution Requirements Bachelor’s or Master’s degree in Business Administration, Computer Science, Business Informatics, Engineering, or similar experience 5+ years in IT project management, ideally in e-commerce or SaaS Proven experience managing enterprise customers and external service providers Strong knowledge of project management methodologies like Agile, Scrum, or Waterfall Solid understanding of e-commerce architectures, APIs, and MACH principles Exceptional communication and stakeholder management skills Experience with complex platform migrations or replatforming projects and project management certifications is a plus YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.