Senior Data Scientist

Senior Data Scientist 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.

Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you.

Work with experienced data scientists and domain experts to apply machine learning algorithms to wireless and wired network data Take ownership of existing AI Insight modules in Aruba Central and evolve them according to customer needs Validate telemetry data from customer networks and find relevant structure that reveals insights Scale machine learning code to run reliably in worldwide production environments Monitor deployed machine learning modules What you need to bring: Our Minimum Requirements for this role are Bachelor's degree in Computer Science, or another data-oriented discipline Four to Ten years industry experience as data scientist Expert   python   coder Fluent user of Apache Spark Working knowledge of data structures (array, maps, trees, stacks, queues) and algorithms (recursion, dynamic programming, backtracking) Working knowledge of machine learning algorithms (linear regression, decision trees, random forests, clustering, anomaly detection) Descriptive statistics (central tendency, variability, distribution) Gen AI - Deep understanding of LLMs and fine-tuning LLMs Agentic AI Clear technical communication Ability and willingness to learn quickly Additional preferred skills Familiar with NoSQL databases, preferably Cassandra Familiar with Kubernetes, Docker, Git, Maven Statistical inference (hypothesis testing, estimation with confidence intervals, Bayesian inference). Additional Skills: 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 Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #aruba Job: Engineering Job Level: TCP_04           HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT