Junior Data Scientist - AI

Hewlett Packard Enterprise-posted 2 months ago

Full-time • Entry Level

San Juan, TX

5,001-10,000 employees

Computer and Electronic Product Manufacturing

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This role has been designed as 'Onsite' with an expectation that you will primarily work from an HPE office. 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 today's complex world. Our culture thrives on finding new and better ways to accelerate what's 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.

Works 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 networking.

Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline. Master's desirable.
Typically, 2-4 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 is a plus.

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)

Health & Wellbeing: A comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
Personal & Professional Development: Programs catered to helping you reach any career goals you have.
Unconditional Inclusion: A commitment to inclusivity and flexibility in managing work and personal needs.

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