Senior data scientist literature állás, munka

• Designing and developing data-driven solutions using machine learning, language models, and statistical modelling,
• Analysing, interpreting, and visualizing data to support business opportunities,
• Preparing and delivering presentations of results to management and clients,

• Work with OPCM and business teams to understand Data Science and AI-based solution requirements and translate them into technical needs.
• Decrypt and translate business problems into technical solutions and to vulgarize complex and technical topics to non-experts.

• collaborate on the design and development of ML-based applications and its backend components;
• help to select the most applicable solutions for a business problem;
• write clean, efficient, and well-documented code;
• contribute to our MLOps processes;

• Support the Enterprise Analytics team in developing advanced AI and analytics solutions.
• Analyze existing processes and propose automation strategies to improve efficiency.
• Contribute to codebase development with a fresh, innovative perspective.

• Adatforrások karbantartása és fejlesztése: Google Tag Manager és Google Analytics 4 mérések tesztelése, hibakeresés, új oldalak mérési struktúrájának implementálása
• BigQuery adatforrások kezelése: lekérdezések és riportforrások előkészítése

• Proactively support the team with new ideas and solutions;
• Support the design and development of scalable and reliable data pipelines to ingest, process, and store large volumes of structured and unstructured data;

• Komplex üzleti igények elemzése és dokumentálása, valamint az üzleti folyamatok szakértői támogatása.
• Részvétel az üzleti stratégia kidolgozásában és az informatikai megoldások tervezésében.

• Folyamat automatizálási, robotizálási (RPA) megoldások tervezése
• Automatizált folyamatok fejlesztése, konfigurálása, tesztelése és dokumentálása – projektek teljes életciklusának végig követése
• Automatizált folyamatok kontrollja, felmerülő problémák elemzése és megoldása

• Participate in or lead SAP PM implementation and rollout projects across MOL Group companies.
• Work with business teams to analyze and understand maintenance-related requirements.

• Building and optimizing SQL and Azure Data Factory pipelines to clean, transform, and consolidate data from multiple sources.
• Supporting the ERP migration to Microsoft D365 FO by ensuring a seamless transition of the data warehouse to rely on the new system as its primary data source.

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...

Prepare Business Concept and Business Strategy Review, analyze and evaluate business systems, user requirements and processes Define business goals and KPIs Cooperation with developer and testing team, participate in User Acceptance Testing Support Project management with delivering relevant...

Prepare Business Concept and Business Strategy Review, analyze and evaluate business systems, user requirements and processes Define business goals and KPIs Cooperation with developer and testing team, participate in User Acceptance Testing Support Project management with delivering relevant...