Pandas Jobs in Austria

In this role, you will develop ML models for customer personalization, optimize automated features, and integrate large language models to enhance our platform.

In this role, you will build scalable ETL/ELT processes on Google Cloud, optimize BigQuery queries, and implement data architectures and real-time processing using Dataflow and Pub/Sub.

In this role, you will develop insightful analyses from raw data, present results convincingly, and shape innovative analytics architectures for Marketing and Sales.

In this role, you will develop powerful machine learning systems for processing and reconciling financial data, transforming prototypes into production-ready solutions, and operating them in a robust, scalable environment.

In this role, you will develop data-driven AI solutions, identify relevant use cases, and implement them to support clients in leveraging Data Science in real-world applications.

In this role, you design and implement data architectures and AI solutions, integrate industry processes into the central data platform, and develop Power BI reports and AI use cases based on Microsoft Fabric and SAP BDC.

In this role, you will develop production-grade Kotlin code for analyzing large motion data, design scalable data processing systems, and optimize ETL workflows with Apache Spark in an innovative environment.

In this role, you will design and implement critical ML systems, develop end-to-end pipelines, and optimize models for real-world applications within an agile team to enhance data process quality and efficiency.

In this role, you develop innovative AI solutions, optimize ML models, and implement reusable ML pipelines while closely collaborating with stakeholders and evaluating new technologies.

You will get involved in the implementation of interesting and industry-focused software projects. At the beginning of your work with us, you will acquire the necessary knowledge about your future field of expertise and begin familiarizing yourself with...

Apply advanced data analysis, statistical modeling, NLP, and machine learning algorithms to automate and scale our processes (e.g product categorization, ingredient similarity, and others). Support our Data team in assessing and enhancing the quality of...