Hewlett Packard Enterprise · 3 hours ago
Data Scientist
San Jose, CA
Full-time
Onsite
Mid Level
$156K/yr - $315K/yr
3+ years expHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. The Data Scientist (AI Cloud Developer) is responsible for building scalable, data-driven solutions to address business challenges, utilizing advanced analytical techniques and collaborating with cross-functional teams to ensure effective deployment of machine learning solutions.
Data CenterEnterprise SoftwareInformation TechnologyIT ManagementNetwork Security
Responsibilities
Collaborate with cross-functional teams to design, develop, and implement cloud solutions tailored to meet business needs
Work with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
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
Identify, debug and create solutions for issues with code and integration into application architecture
Develop and execute comprehensive test plans for features adhering to performance, scale, usability, and security requirements
Deploy cloud-based systems and applications code using continuous integration/deployment pipelines
Contribute towards innovation and integration of new technologies into projects
Analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or networking
Qualification
Required
Master's or PhD degree in computer science, data science, mathematics, physics, statistics, physics, or closely related quantitative discipline
Typically, 3-4 years' experience working as a Data Scientist building products/features using machine learning, deep learning and generative AI
Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, hypothesis testing, causal inference, deep learning and reinforcement learning, semi-supervised learning, or mixed time-series/event streams
Experience with GenAI and large language models (LLMs). Agentic AI is a plus
Familiarity with and understanding of design for software systems
Proficient Python coder (PySpark, Scikit-learn), experience with software engineering best practices
Advanced understanding of Object-Oriented Programming (OOP)
Understanding microservice architecture and how they can be built in a containerized, Kubernetes-managed environment is central to all modern cloud-native applications
Designing and integrating software systems running on multiple platform types into the overall architecture
Great written and verbal communication skills. Ability to effectively communicate product architectures and design proposals at senior management levels; strong data visualization skills
Relevant industry experience in data science and machine learning
Benefits
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion
Company
Hewlett Packard Enterprise
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
10001+ employees
H1B Sponsorship
Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)
Funding
Current Stage
Public CompanyTotal Funding
$2.85BKey Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO
Leadership Team
Antonio Neri
President & CEO
Fidelma Russo
EVP & GM, Hybrid Cloud and Chief Technology Officer
Recent News
2026-01-20
2026-01-16
2026-01-16
Company data provided by crunchbase