AI Data Scientist

HP•Fore Store, VA

About The Position

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

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
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
Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker
Experience working in distributed, diverse teams
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

Nice To Haves

Experience working on software development teams, especially in cloud-based business applications, is a strong plus.
Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.

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