Data Scientist Jobs in Austria

In this position, you will develop and implement data jobs in Databricks and Azure systems, optimize processes, and prepare data for business units and the BI team. You will also contribute to the improvement of data architecture and Big Data solutions.

In this role, you identify and analyze problems, develop modern algorithms, and optimize solutions in an agile environment, often collaborating with clients and technology partners. You implement relevant projects and automate workflows.

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 work on data integration for corporate reporting, monitor data quality, optimize ETL processes, and ensure traceability of data flows.

In this role, you will develop ETL/ELT data pipelines, automate AI-driven workflows, perform data analyses, and create Machine Learning models deployed in cloud environments.

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 ML models for customer personalization, optimize automated features, and integrate large language models to enhance our platform.

In this role, you will develop predictive models for betting markets, analyze data, implement models in Java, and optimize existing systems while collaborating closely with colleagues and product owners.

In this role, you will develop scalable data pipelines, integrate data from various sources, optimize cloud architectures, and implement monitoring mechanisms to ensure data quality.

In this role, you design modern data platforms, develop data pipelines and Lakehouse architectures, optimize reporting solutions with Power BI, and advise clients on data governance requirements.

In this role, you will develop Data Pipelines and implement Cloud Data Analytics solutions in Databricks, migrate on-premise systems, and optimize data architecture in a hybrid environment.

In this role, you will develop advanced machine learning models, implement predictive data analyses, and optimize data pipelines to support strategic marketing decisions.

In this role, you will develop data models and Python tools for data transformation, automate reports and dashboards, and manage databases and ETL processes in the financial sector.

In this role, you will develop machine learning models for innovative applications in social insurance, optimize data pipelines, and ensure high data quality and performance of productive solutions.

In this role, you will develop end-to-end Machine Learning models, analyze data to identify new opportunities in sports betting, and optimize solutions for data-driven decision-making within a cross-functional team.