Principal AI Data Scientist
HP Inc.
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Benefits offered by this job
Job summary
HP Inc. is seeking a Principal AI Data Scientist to lead GenAI projects across the Enterprise AI & ML organization. You will drive large language and multi-model initiatives, partner with stakeholders, and deploy solutions on cloud and edge platforms.
This role emphasizes delivering business value over research, with mentoring responsibilities and strong collaboration across units. Excellent English communication and a cloud-focused technical background are required.
Qualifications
- PhD or Master’s degree related to AI with extensive Generative AI experience.
- Experience with large language models, multi-modal models, and practical deployment.
- Strong software development background and cloud-based applications.
Responsibilities
- Lead GenAI projects and coordinate data science teams across HP.
- Develop monitoring metrics and guide model deployment strategies.
- Engage with senior partners to drive data-informed business value.
- Translate insights into visuals and communicate impact to stakeholders.
- Ensure models scale and integrate into delivered solutions.
- Mentor junior staff and represent DS team in governance meetings.
Skills
Education
Tools
Job description
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, reusable 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 at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.
- 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, LangChain, Streamlit, and Docker.
- Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.
- Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.
- Able to explain technical concepts (e.g., LLMs) to non-technical audiences.
- You suggest pragmatic solutions that are as simple as possible—even if that means no AI is required.
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave (US benefits overview https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c07065756 )
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy (https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225) or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal (http://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
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