Data Scientist

Hewlett Packard Enterprise•San Jose, CA

1d•$155,500 - $315,000•Hybrid

About The Position

The Data Scientist (AI Cloud Developer) builds scalable, data-driven solutions from the ground up to address mission-critical business challenges, continuously exploring innovative statistical, machine learning, and AI methodologies to deliver end-to-end analytical solutions that drive measurable business impact. Applies advanced analytical thinking to deconstruct complex, multi-dimensional datasets and engineer novel algorithms, models, and methodologies for solving business problems—from initial exploratory data analysis through prototyping, model development, validation, and production deployment of ML/AI solutions. Collaborates cross-functionally with data engineers, MLOps teams, product managers, and business stakeholders to ensure robust model performance, efficient pipeline orchestration, continuous monitoring, and sustainable operationalization of data science solutions at scale. Delivers quantifiable business value by developing innovative data products, predictive models, and analytical frameworks that enhance HPE's data science capabilities across diverse domains, platforms, and use cases—translating complex insights into actionable recommendations that drive strategic decision-making.

Requirements

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

Nice To Haves

Agentic AI is a plus

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