Senior Data Scientist, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
United States, Ft. Collins

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

122000.00 - 231000.00 USD / Year

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Job Description:

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.

Job Responsibility:

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
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

Requirements:

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
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

Nice to have:

Highly desirable one or more of: Grafana, Prometheus, AWS, Kubernetes, Terraform
Have an enthusiastic, go-for-it attitude
Have an urge to collaborate and communicate asynchronously

What we offer:

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Additional Information:

Job Posted:
October 22, 2025

Expiration:
December 01, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Scientist