Data Scientist Jobs in Vienna

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 analyze data and develop innovative reporting solutions using machine learning, while collaborating closely with interdisciplinary teams to design digital dashboards and ensure data integrity.

In this role, you will develop data pipelines in Databricks and Azure, monitor and optimize data processes, prepare data for the BI team, and contribute to the further development of the data architecture.

In this role, you will develop scalable AI applications using Python and FastAPI, optimize data pipelines, and build structured graph-based systems for intelligent user solutions.

In this role, you develop and optimize data-intensive solutions using Python, create data pipelines, and integrate data for predictive maintenance while ensuring quality and performance.

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 identify problem statements, develop state-of-the-art algorithms, and implement solutions in an agile environment. You optimize workflows, collaborate closely with clients and management, and stay updated with the latest technologies.

In this role, you will develop tailored machine learning models, analyze data, present results, and integrate these solutions into the business processes of our clients from various sectors.

In this role, you will work with large datasets, develop statistical models and machine learning algorithms, analyze data, and create visualizations to communicate results to stakeholders.

In this role, you will design data architectures and implement robust data solutions. You will build, maintain, and optimize data pipelines that integrate large volumes of data while utilizing modern tools such as Spark and Airflow.

In this role, you will develop complex machine learning models to optimize marketing strategies, implement predictive analytics, and ensure the quality and ethics of data processes.

In this role, you will develop a data warehouse and implement ETL processes to optimize data pipelines while ensuring data quality and security.

In this role, you will develop algorithmic solutions and optimization models for production planning and sustainable energy systems, conducting data analyses using Machine Learning.

In this role, you develop Python applications to automate data-driven processes and implement machine learning use cases while closely collaborating with business departments in digital sales.

Development of Python applications for automating, centralizing, and scaling data-driven processes. Implementation of machine learning and AI use cases, from idea through proof of concept and MVP to stable production operation. Creation of evaluations...