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.

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.

Job Description:

   

About the Team

The Core Services team for Compute Ops Management (COM) is the driving force behind the design and development of foundational services and private AI/ML infrastructure that powers HPE’s server management portfolio. We collaborate across engineering, design and product to deliver common services and infrastructure that allows our product feature teams to scale their feature delivery.

As a Data Scientist in the Core Services team, you will

• Play a key role in understanding our data and help us unlock the potential of integrating robust and cost optimized  AI/ML techniques for training and inference to power innovations in our product’s feature set.
• Guide the definition of foundational data sets and develop metrics that inform key decisions
• Focus on aligning our private on-premises AI/ML infrastructure buildout with the product features we want to support
• Build forecasting and optimization models and establish source of truth dashboards and analyses that help us with capacity planning and drive partner teams  to understand and improve infrastructure usage.
• Be a core partner to engineering, product and DevOps teams in shaping the core AI/ML infrastructure, models and pipeline that powers our product.

About you:

• Bachelor's or Master's degree in Data Science and./or Computer Science, or equivalent
• Typically 2-8 years’  experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems or platform domains in an enterprise setting.
• Development experience with Python, Go or Java (or C#, C++, C) or similar programming languages

• Good understanding of REST APIs and the fundamentals of successful design and testing of a REST API
• Have an enthusiastic, go-for-it attitude. When you see something broken, you can’t help but fix it
• Have an urge to collaborate and communicate asynchronously
• Good understanding of distributed systems, event driven programming paradigms and designing for scale and performance

• Ability to troubleshoot complex issues with curiosity, flexibility, creativity and a sense of ownership and accountability 
• Strong communication skills and ability to work in a distributed team

• Highly desirable one or more of: Grafana, Prometheus, AWS, Kubernetes, Terraform

As a part of our team you will be able to learn or apply existing knowledge in the following areas:

• Your contributions will have visible and technical impact on how our service teams operate and how we serve our customers
  • Providing informed technology inputs or proposals to management that consistently improve the value to the business
  • Demonstrating breadth of influence across multiple organizations within the business
  • Evolving existing technologies or introducing new technologies that improve the value of products and services to our customer
• Your work product demonstrates technical creativity and innovation:
  • Developing leading-edge technologies and new solutions that provide positive change in how customers perceive our products and services
  • Providing technology contributions to improve time to market and/or overall quality and customer experience
• Your contributions will consider the broader context:
  • Working in a broad context to include: partner groups, other organizations, strategic program objectives, customer value chain, etc.
  • Producing technical results that balance a mixture of characteristics including: robustness, reusability, cost sensitivity, and customer appropriateness

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analy