Data science állások, munkák it programozás, fejlesztés területen

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Lead and coordinate international innovation projects across AI & Engineering
• Build trust-based partnerships with clients and researchers
• Translate complexity into clarity – and ideas into business value
• Mentor teams and foster a culture of excellence

• Planning, coordination, and delivery of signal detection and product safety scientist activities
• Support of mentoring of more junior colleagues
• Development of processes, tools, and systems
• Serving as lead on smaller FSP-type projects

• Üzleti igények strukturált összegyűjtése, megértése és egyeztetése
• Dokumentumok készítése (üzleti követelmények, specifikációk, tesztesetek)
• Döntéstámogató anyagok, riportok készítése
• CRM és low-code / no-code alapú megoldások beállítása, paraméterezése, üzleti tesztelése

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

Become a trusted partner within Sales Controlling Consumer by mastering end-to-end processes, data flows, governance needs, and timing constraints...

• Building complex financial analysis utilizing Microsoft Excel, Python, Alteryx, KNIME, Power BI & Tableau
• Taking part in significant international transaction projects
• Collecting, researching and analyzing data related to the client’s business operations

Where you belong: Where you belong: ...

• Tech Stack: Python (Django/FastAPI), PostgreSQL/TimescaleDB, Redis, Celery, Docker, AWS, GitLab CI/CD, Sentry, Grafana
• Your Focus: API design & architecture, backend integrations, data flows, system reliability and scalability

• Salesforce development and solution delivery
• Design and implementation of scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Building and enhancing user experiences using Lightning Web Components and Aura Components

• Definition and execution of automation and AI strategy aligned with GBS priorities and enterprise digital roadmap
• Leadership of a global organization including automation and AI teams across 4 locations

• Identify and prioritise customer problems, market opportunities, and high-value use cases.
• Define and manage standard product packages that deliver clear customer value.
• Own and prioritise the product roadmap, balancing customer needs, business objectives, and engineering capacity.

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Design and implement advanced algorithms across AI, Data, Simulation, Processes, and Quantum Computing
• Lead the technical vision of interdisciplinary R&D projects
• Integrate emerging technologies and mentor young researchers
• Represent TWT at international conferences and forums

Act as the liaison between the functional teams based in Neuchatel and the Irvine-based Oracle team. This role will be an advocate for ensuring major projects, enhancements or bug fixes are addressed appropriately as part of the Oracle Team’s Sprint cycles....

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

• Articulate regional data needs and availability across consumer, commercial and insights
• Deploy and embed global data products into markets as the voice of global products with local stakeholders
• Deploy predictive audience segments and experimentation with media, content, and marketing effectiveness

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite