Principal AI Data Scientist

HP•Houston, TX

9h•$146,650 - $225,850

About The Position

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 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.

Requirements

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.
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.
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

Nice To Haves

Programming Language/s Certification (SQL, Python, or similar)
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.

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.

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave