Senior Data Scientist

Senior Data Scientist

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

   

Are you looking for a unique, truly innovative role? What if it could be with one of the most impactful IT companies in the world? Then we have the right opportunity for you – we are looking for a Senior Data Scientist to work on evolving and shaping the AI/ML stack that powers the AI driven insights for software to manage compute devices from the edge to cloud. You will 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 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, your primary focus areas will be:

Model development and deployment:

• Design, build, train, and fine-tune complex AI and machine learning models, including deep learning, natural language processing (NLP), and generative AI models like Large Language Models (LLMs).
• Develop Retrieval-Augmented Generation (RAG) and agentic workflows to enhance model accuracy and performance.
• Collaborate with machine learning engineers and DevOps teams to deploy AI models into production and establish MLOps best practices.
• Design and run A/B tests to measure model effectiveness in real-world scenarios.
• Focus on aligning our private on-premises AI/ML infrastructure buildout with the product features we want to support

Data analysis and management:

• 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.
• Work with large, complex, and often unstructured datasets to develop data pipelines and prepare data for modeling.
• Conduct exploratory data analysis (EDA) to understand data patterns, distributions, and potential biases.
• Leverage synthetic data generation to augment datasets for model training.
• Ensure data quality and integrity throughout the data science lifecycle.
• Guide the definition of foundational data sets and develop metrics that inform key decisions
• 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.

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, C#, C++, C) or similar programming languages
• Successful with big data, LLM and analytics
• 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

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

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.

#unitedstates

Job:

Engineering

Job Level:

TCP_04

    

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

USD Annual Salary: $122,000.00 - $231,000.00

The estimated job application period closure is December 1 2025; this timeline is provided for transparency and internal planning purposes.

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.