AI Data Scientist

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, reusable components and frameworks, and training to other teams across the company.

As a Data Scientist focused on Generative AI, you will work across 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.

• Deliver Generative AI-based models of high complexity to surface insights; drive action, define success measures and track performance of models.
• Develop monitoring metrics to reflect real‑world model performance and make recommendations to shape the future direction of models and digital solutions.
• Strategize models to uncover patterns and predictions creating business value and innovation.
• Manage relationships with business partners to evaluate and foster data‑driven innovation, providing domain‑specific expertise in cross‑organization projects/initiatives.
• Tie insights into effective visualizations communicating business value and innovation potential.
• Work with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
• Lead project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Represent the data science team for all phases of larger and more‑complex development projects.
• Provide guidance, training and mentoring to less experienced staff members.

• PhD related to AI or a Master’s degree in computer science or a related field and 5+ years of experience with GenAI 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 models, 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 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.
• Suggest pragmatic solutions that are as simple as possible—even if that means no AI is required.

The base pay range for this role is $130,700 to $205,200 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.

• 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.