Principal AI Data Scientist

HP; Houston (TX); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave (4–12 weeks)

Paid holidays (11)

Job summary

HP is seeking a Principal AI Data Scientist to lead GenAI-focused projects across the enterprise. This role shapes model strategy, mentors teams, and partners with stakeholders to deploy scalable AI solutions in the cloud and at the edge.

The ideal candidate has deep GenAI experience, strong communication skills, and a drive to deliver measurable business value. This full‑time position is based in Houston, TX, within the HP Enterprise AI & Machine Learning organization.

Qualifications

• PhD or Master’s in AI-related field with extensive GenAI experience.

Responsibilities

• Leads organization-wide teams in complex GenAI projects and deployments.
• Develops monitoring metrics and evaluates model performance in production.
• Manages relationships with senior business partners to drive data-driven innovation.
• Creates effective visualizations to communicate business value and insights.
• Ties insights into scalable deployment across cloud and edge.
• Mentors staff and represents DS team across larger projects.

Skills

GenAI & LLMs

Prompt engineering

Vector databases

Retrieval‑Augmented Generation

LangChain

Streamlit

Docker

Azure ML

Azure Prompt Flow

Python

English proficiency

Education

PhD in AI

MS/PhD in AI or related

Tools

Azure ML

Azure Prompt Flow

Python

LangChain

Streamlit

Docker

Job description

Principal AI Data Scientist Description - 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.

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.

Education & Experience

Recommended 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.

Cross‑Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Pay

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.

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 (US benefits overview)

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.

Job Details

Job - Data & Information Technology

Schedule - Full time

Shift - No shift premium (United States of America)

Travel - Relocation

Equal Opportunity Employer (EEO) - HP, Inc.

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 or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

Our Vision

You want to reshape the way the world works. So do we. You’re looking for more than just a job; you’re looking to make a difference. That means creating something new. Something that matters. Something that changes how the world works for the better. A career at HP can help you build the tomorrow you want. Let’s grow together.

Privacy, Terms of Use, and Accessibility

Our founders believed that business exists when people work together to ‘accomplish something collectively which they could not accomplish separately.’ We uphold a zero‑tolerance policy towards discrimination and treat everyone with respect. By maintaining these principles, we empower the HP team to contribute to our collective success and the future of work. Learn more about HP personal data practices at Privacy Statement, Personal Data Rights Notice (where applicable), Accessibility at HP, and Terms.

Be Yourself

You can be yourself at HP. Learn more