Senior data scientist állások, munkák Budapesten

Support Daily Data Production Workflows Across Multiple Asset Classes Including Fixed Income Curves, Futures, Derivatives, And Equity Analytics Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics Assist With Investigating Data Quality Issues Such As Pricing...

Identification of client reporting requirements in coordination with account directors Identification of opportunities for process improvements on account and implementation of solutions to close process gaps Definition of business requirements from account and client teams for custom reporting...

Backend Services Development, Optimisation, and Maintenance Using Java (Spring Boot) Design Decisions Contribution for New and Existing Projects Application Deployment and Scaling in AWS (ECS, Lambda, S3, DynamoDB, etc.) System Observability Enhancement with Real-Time Monitoring and Logging Using...

Leading a small, senior engineering team building production LLM systems Shaping the technical vision for AI at Wise including architecture, evaluation, and integration of latest research into production Partnering closely with embedded Data Science, PM, Analyst and Prompt Engineering functions...

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...

Implementation of new features within the Veeva Quality suite at Life Sciences companies Guidance on enhancing quality and compliance culture through Veeva Quality suite Design of solutions requested and anticipated for customers Customer liaison and management of communication between...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

Setting the strategic direction for IT & Cyber Risk product area Owning the product vision, roadmap, and outcomes for IT & Cyber Risk on the Diligent One Platform Partnering with engineering, design, data science, and senior leadership to build products for CISOs, risk managers, and boards Shaping...

Delivery on complex data engineering projects across industries Leading small delivery teams Managing customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating quality of junior engineers' work Contributing to hiring best-in-class data engineers...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

Mastery of Apache Spark and Databricks on AWS/Azure Participation in bi-weekly sprint model with technical classes and hands-on project delivery Delivery of complex capstone projects Shadowing senior consultants on real-life engagements Building consulting skills through simulated projects and...

• Az ügyfél üzleti működésének megismerése és elemzése
• Az üzleti problémák pontos megfogalmazásának támogatása
• Megoldási alternatívák kidolgozása és értékelése az ügyféllel közösen
• Aktív részvétel a követelmények összegyűjtésében és pontosításában