Data Scientist - AI, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
Puerto Rico, Aguadilla

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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.

Job Responsibility:

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
Analyses science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns

Requirements:

Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline. Master’s desirable
Typically, 4-7 years’ experience
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

Nice to have:

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)

What we offer:

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Additional Information:

Job Posted:
July 04, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Scientist - AI