Customer Data Lead overseeing client - specific data operations for CUBE's regulatory data services. Ensuring best - in - class data services across North America.
About the role
- Data Scientist delivering Generative AI models for HP’s productivity tools. Collaborating across business units to drive real business value through AI solutions.
Responsibilities
- Delivers Generative AI-based models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
- Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
- Strategizes models to uncover patterns and predictions creating business value and innovation.
- Manages relationships with 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.
Requirements
- Recommended 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 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.
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
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