Senior Data Scientist This role has been designed as Onsite with an expectation that you will primarily work from an HPE office Who We Are 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 of 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 What You ll Do 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 arubaJob EngineeringJob Level TCP 04 HPE is an Equal Employment Opportunity Veterans Disabled LGBT employer We do not discriminate on the basis of race gender or any other protected category and all decisions we make are made on the basis of qualifications merit and business need Our goal is to be one global team that is representative of our customers in an inclusive setting where we can continue to innovate and grow together Please click here Equal Employment Opportunity Hewlett Packard Enterprise is EEO Protected Veteran Individual with Disabilities HPE will comply with all applicable laws related to employer use of arrest and conviction records including laws requiring employers to consider for employment qualified applicants with criminal histories No Fees Notice Recruitment Fraud Disclaimer It has come to HPE s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates These scammers often seek to obtain personal information or money from candidates Please note that Hewlett Packard Enterprise HPE its direct and indirect subsidiaries and affiliated companies and its authorized recruitment agencies vendors will never charge any candidate a registration fee hiring fee or any other fee in connection with its recruitment and hiring process The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification Any candidate individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk and HPE disclaims liability for any damages or claims that may result from any such communication

📌 Senior Data Scientist (Karnataka)
🏢 Hewlett Packard Enterprise | HPE
📍 Karnataka