Data science állás, munka

• Develop Linux based machine platform and application software architectures from the first idea to series production and operation
• Contribute to our global machine control and connectivity platform
• Design and implement embedded machine application and connectivity software components

• Designing, developing, and maintaining server-side logic and functionality using Java and frameworks like Spring and Hibernate.
• Designing, developing, and maintaining user interfaces using front-end technologies like HTML, CSS, and JavaScript frameworks (ex: React).

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

Schwarz IT takes care of the entire digital infrastructure and all software solutions of the companies of Schwarz Group. As a result, it is responsible for the selection, provision, operation and continuing development of IT infrastructure, IT platforms and business applications. In order to...

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Design, development, and maintenance of full-stack applications, web services and REST APIs
• Implementation and integration of ISCC applications with external systems and web services
• Automation and optimization of workflows and data-driven processes

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Design and implement cloud-native data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage Develop and optimize data ingestion, transformation, and orchestration workflows for analytics, BI, machine learning, and large-scale processing use...

• Agile development & configuration (front- & backend) of an international PIM/MDM solution
• Build & further enhance our PIM/MDM data models based on complex business requirements
• Code review & unit testing and perform quality assurance and testing (error analysis, bug-fixing)

• Develop, test, deploy, and monitor scalable filter pipelines and transformation processes that extract relevant metrics and features from billions of events.
• Data management in a Data Lake.
• Collaborate with data scientists and software developers to optimize and scale high-performance ML models.

• Collaborate with agile multidisciplinary teams on diverse consulting projects.
• Participate in brainstorming sessions and contribute innovative ideas.
• Architect, design and implement features for customers, products and internal tools.