Principal AI Data Scientist at HP Law

Fore Store, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

230850.0

Posted On

07 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Machine Learning, Data Analytics, Statistical Modeling, Large Language Models, Multi-Modal Models, Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Search Engines, Azure Machine Learning, Python, LangChain, Streamlit, Docker, Effective Communication

Industry

IT Services and IT Consulting

Description

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

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Responsibilities

Leads teams of data science professionals in creating GenAI-based models and digital products. Manages relationships with senior business partners to foster data-driven innovation and ensures model scalability.