Data Scientist

Data Scientist

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week 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 diverse 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.

Job Description:

   

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:

we are looking for a Software Engineer to join us! In this amazing role, you will be responsible for design, development, troubleshooting and debugging of data engineering products, Software Defined Storage analytics products of HPE. This is an amazing opportunity to be part of our R&D team and work in areas of storage, filesystem, hyper converged solutions and analytics. You will evaluate, design, and define coding, programming, and integration activities based on objectives and established project guidelines, collaborating with product management to understand and finalize requirements.

• 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:

• Bachelor's degree in Computer Science, or another data-oriented discipline

• 4 to 12 years of industry experience as data scientist

• Expert in Python coding

• Statistical inference (hypothesis testing, estimation with confidence intervals, Bayesian inference)

• 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 Knowledge (central tendency, variability, distribution)

• Clear technical communication

• Ability and willingness to learn quickly

Additional preferred skills

• Familiar with NoSQL databases, preferably Cassandra

• Knowledge in Scala, Rust

• Familiar with Kubernetes, Docker, Git, Maven

• Gen AI, Knowledge about foundational LLM models.

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.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse 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.

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#aruba

Job:

Engineering

Job Level:

TCP_04

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO F/M/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.