AI Data Scientist
About The Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers that builds Generative AI tools and digital products to increase productivity for more than 50,000 employees and improve critical business processes. The team collaborates with business stakeholders across HP to scope, prototype, and develop models and products for cloud and edge deployment. It also serves as HP’s AI Center of Excellence, offering consulting, reusable components and frameworks, and training to other teams. The Data Scientist focused on Generative AI works across HP projects involving large language and multimodal models and other emerging Generative AI capabilities. The role collaborates with technical teams, business stakeholders, and organizational units to develop and deploy solutions at scale, with a primary focus on delivering business value to internal customers. This is not a research role.
Requirements
- PhD related to AI, or a Master’s degree in computer science or a related field and 5+ years of experience with 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, multimodal models, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.
- Comfort representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully.
- Mastery of English.
- Ability to explain technical concepts such as LLMs to non-technical audiences.
- Suggest pragmatic solutions that are as simple as possible, including solutions that do not require AI.
Nice To Haves
- Programming language certification in SQL, Python, or a similar language.
- Experience working on software development teams, especially in cloud-based business applications.
- Familiarity with Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.
- Experience working in distributed, diverse teams.
- Time spent in small, fast-paced start-ups.
Responsibilities
- Deliver high-complexity Generative AI models to surface insights, drive action, define success measures, and track model performance.
- Develop monitoring metrics that reflect real-world model performance and recommend future directions for models and digital solutions.
- Strategize models to uncover patterns and predictions that create business value and innovation.
- Manage relationships with business partners to evaluate and foster data-driven innovation, and provide domain-specific expertise in cross-organization projects and initiatives.
- Connect insights to effective visualizations that communicate business value and innovation potential.
- Work with development teams and business units to ensure models are scalable and can be implemented in delivered solutions.
- Lead data science project teams, ensure insights are communicated regularly and effectively, and review designs, models, and data compliance.
- Represent the data science team in all phases of larger and more complex development projects.
- Provide guidance, training, and mentoring to less experienced staff members.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Long-term and short-term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- 4–12 weeks of fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
