Use analytical skills to improve business by turning complex data sets into useful information to solve global challenges across private and public sectors using machine learning and artificial intelligence advances.
Compensation
The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).
Responsibilities
Work closely with customers to understand questions and needs
Dig into data-rich environments to find information puzzle pieces
Apply analytical skills and tools/frameworks to turn disparate data points into objective answers
Provide customers with a deep understanding of their data and how to use it
Design, build, and maintain distributed systems and algorithms for OCI’s Next Gen Network Observability platform, enabling automated network control and self-healing networks.
Compensation
US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Design, implement, and maintain critical components of OCI’s Next Gen Network Observability platform.
Build scalable, topology-aware measurement, analytics, and inference systems for data center and WAN networks.
Develop algorithms for path reconstruction, congestion triangulation, queue-wait estimation, fault localization, root cause analysis, and customer-impact attribution.
Ingest and correlate signals from active probes, routing and topology systems, switches, ASICs, queues, flows, logs, metrics, events, and streaming telemetry.
Produce ranked, confidence-scored diagnoses that localize problems to the responsible path, link, queue, device, or shared network resource.
Requirements
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent professional experience.
Lead data science initiatives to solve complex business problems using AI, ML, and statistical methods.
Locations (2)
Ljubljana, Slovenia, Slovenia
Barcelona, Catalonia, Spain
Compensation
€67,130.00 - €124,670.00
Responsibilities
Transform the way complex business problems are solved through effective data management, Data Science, Artificial Intelligence, statistical methods and Machine Learning.
Translate complex analytical findings into clear recommendations for business users, using effective visualization and storytelling to influence strategic decisions, including with senior business leaders.
Establish effective approaches to managing data for analytical use and contribute to the development of Novartis data management and Data Science capabilities.
Coordinate and prioritise resources across critical initiatives, proactively managing changing requirements, stakeholder expectations, operational risks and competing priorities.
Collaborate with internal stakeholders, cross-functional teams, external partners and institutions to solve critical business challenges and identify opportunities for operational efficiency and innovation.
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