Principal AI Data Scientist

• 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.

Preferred Certifications

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

Knowledge & Skills

• 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

The base pay range for this role is $147,050 to $230,850 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience., HP offers a comprehensive benefits package for this position, including:

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 (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.

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.