Data Scientists for Big Data, IoT and AI projects
Core
Develop data analytics, big data, and AI solutions to monitor global system health, optimize material handling processes, and define new data-driven products and tools.
Role type
Senior Data Scientist (Big Data & AI)
Builds
Data pipelines, predictive models, and diagnostic tools for intralogistics systems.
Domain
Industrial IoT, Material Handling, Intralogistics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Big data processing, data cleansing, data pipeline maintenance, concept development, software implementation, tool configuration, domain understanding, creative problem solving
Preferred skills
Open-source software expertise, prototype testing, cross-functional collaboration, university research partnership experience
Technologies
Kubernetes, ArgoCD, MLFlow, vLLM, Elastic stack, Apache Kafka, Apache Flink, Numaflow, Python, Java, Golang, Jupyter notebooks, Opentelemetry
Responsibilities
Initiate mining of existing data from material handling systems to identify bottlenecks and optimizations; Process, cleanse, and verify data integrity; Participate in maintaining existing data pipelines; Define and evaluate new data collection and analysis techniques; Drive rollout of data collection to all group sites; Test and implement prototypes for customer solutions.
Seniority
Senior, hands-on IC
