Data science állás, munka

• Designing, developing, and maintaining scalable data pipelines and workflows for large-scale data processing
• Replacing legacy data warehouse systems with modern data lake solutions
• Architecting robust data platforms leveraging structured and unstructured data

• Development and maintenance of regulatory reporting databases
• Participation in the development and implementation of the Group level regulatory reporting methodologies, creating best practices
• Development of regulatory reporting related BI solutions

Lead end‑to‑end data and ML products across a global organization Build sophisticated commercial data products integrating with Salesforce, Snowflake, and AWS-native services Design and deploy advanced scoring engines for Leads and Opportunities Lead development of Marketing Mix Modeling (MMM) and...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Writing reusable, testable, and efficient code, mainly in Python Mastering the integration of user-facing elements developed by front-end developers with server side logic Being a magician of integration of data storage solutions Handling security and data protection professionally and precisely...

Writing reusable, testable, and efficient code, mainly in Python Mastering the integration of user-facing elements developed by front-end developers with server side logic Being a magician of integration of data storage solutions Handling security and data protection professionally and precisely...

Writing reusable, testable, and efficient code, mainly in Python Delivering great user experience by the development of great user interfaces Handling security and data protection professionally and precisely Working collaboratively to provide technical solutions and implement new software features...

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...