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Junior Data Scientist - AI

United States, San Juan Employment contract · Job Posted July 31, 2025
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Job Description

Hewlett Packard Enterprise (HPE) is seeking a Junior Data Scientist - AI to design, implement, and validate machine learning algorithms on large-scale data for network diagnostics, optimization, and problem-solving. The candidate will be required to work onsite, collaborate with domain experts, and oversee deployment of machine learning solutions. The role emphasizes innovation and integration of emerging technologies into HPE's offerings.

Job Responsibility

  • 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 problems.

Requirements

  • Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline
  • 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.

Nice to have

familiarity with wireless and wired networking protocols.

What we offer

  • comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • specific programs catered to helping reach career goals
  • unconditional inclusion.

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