Data Scientist - AI

Our client , Hewlett Packard Enterprise (HPE), is looking for a Data Scientist - AI.

Data Scientist - AI

This role has been designed as Onsite with an expectation that you will primarily work from an HPE office.

Who We Are :

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in todays complex world. Our culture thrives on finding new and better ways to accelerate whats next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description :

The Data Scientist builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.

Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.

Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.

The Data Scientist provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.

Management Level Definition :

Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives.

Responsibilities :

• Work with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
• Discover new problem signatures in customer networks
• Design, implement, and validate machine learning algorithms on big data
• Guide and oversee deployment of implemented machine learning solutions and monitor their operation
• Use Agentic AI to solve networking problems
• Analyses the feature specifications and determines the required coding, testing, and integration activities.
• Designs and develops moderate to complex cloud application modules per feature specifications adhering to security policies.
• Identifies debugs and creates solutions for issues with code and integration into application architecture.
• Develops and executes comprehensive test plans for features adhering to performance, scale, usability, and security requirements.
• Deploy cloud-based systems and applications code using continuous integration / deployment (CI / CD) pipelines to automate cloud applications' management, scaling, and deployment.
• Contributes towards innovation and integration of new technologies into projects.
• Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

Education and Experience Required :

• Bachelors degree in computer science, engineering, information systems, or closely related quantitative discipline. Masters desirable.
• Typically, 4-7 years experience.

Knowledge and Skills :

• Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference, deep learning
• Great at communicating concepts and results; strong data visualization skills
• Expert Python coder (PySpark, Scikit-learn); experience with software engineering best practice
• Relevant industry experience in data science, machine learning
• Experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series / event streams
• Experience with Agentic AI
• Familiarity with wireless and wired networking protocols

Additional Skills :

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

• El Comeback is a non-profit program from ConPRmetidos that attracts and retains professional talent for Puerto Rico-based jobs. Register at elcomebackpr.org / registration-form to get matched with professional opportunities on the island.