Principal AI Data Scientist
Listed on 2026-10-08
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
About the Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge.
We also serve as HP’s AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.
Description
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About the Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge.
We also serve as HP’s AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.
As a Principal Data Scientist focused on Generative AI, you will lead multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you’ll collaborate with business stakeholders and across various units to develop and deploy solutions r primary focus and mindset will be on delivering real business value to our internal customers.
Please note, this is not a research role.
Responsibilities
- Leads organization-wide team or teams of other data science professionals in complex projects to create GenAI-based models and digital products.
- Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
- Manages relationships with senior business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
- Ties insights into effective visualizations communicating business value and innovation potential.
- Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
- Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
- Represents the data science team for all phases of larger and more-complex development projects.
- Provides guidance, training and mentoring to less experienced staff members.
- PhD related to AI and 5+ years of experience or Master’s degree related to AI and 10+ years of experience.
- Relevant experience must involve Generative AI and related technologies including machine learning. data analytics, and statistical modeling.
- Programming Language/s Certification (SQL, Python, or similar)
- Strong foundation in data science and core machine learning concepts.
- Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.
- Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.
- Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, Lang Chain, Streamlit, and Docker.
- Experience working in…
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