Data specialist állások, munkák

• Quality adatok és incidens riportok gyűjtése, feldolgozása és elemzése
• Trendek, tendenciák és visszatérő problémák azonosítása az adatok alapján
• Riportok, kimutatások és grafikonok készítése
• Adatminőség ellenőrzése és az esetleges eltérések jelzése

• Supporting business and marketing decisions with data-driven solutions
• Developing predictive models, analytical insights, and generative AI tools
• Participating in generative AI projects including working with Large Language Models (LLMs) and GenAI

​Advice and support for projects with Corporate GxP-relevant computer systems and support the system owners of computer systems in life cycle management...

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities
• Effort estimation
• Proposal creation
• Architecting and planning robust data models
• Architecting and planning modern data platforms

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Experience in different Data Science topics
• Independent delivery of Data Science projects
• Engagement with clients to understand business objectives and translate them into technical requirements
• Leading pre-sales technical discussions

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research...

Design and develop backend data objects and data models that provide reliable, analytics-ready data for downstream BI dashboards and reporting solutions...

• Become familiar with vacuum technology, gas dynamics, process chambers, and sensor systems.
• Support the setup and execution of experiments in our vacuum test laboratory.
• Plan experiments using a structured Design of Experiments approach.

• Derive precise business requirements from regulatory guidelines and internal non-regulatory needs
• Perform gap analyses to determine applicable requirements based on existing trading and operational processes

• Az üzleti területektől érkező igények adattárház-érintettségének felmérése
• Koncepció kialakítása az adattárház adatmodellezési és adatbetöltési szabályainak betartásával
• Specifikáció készítése a DWH fejlesztői csapat számára

• Building and maintaining dataset ingestion, cleaning, and versioning pipelines
• Designing and operating labeling workflows including quality control and inter-annotator agreement tracking
• Owning dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

Support planning and preparation of relevant content for recurring corporate events (e.g., senior leadership meetings, committees, staff meetings, strategy workshops);...

• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Technical leadership post-sales for strategic customers in big data projects
• Design and implementation of big data projects from architectural design to data engineering and model deployment

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals