AI Data Scientist

Responsibilities

• Delivers Generative AI-based models of high complexity to surface insights;
• Drives action, defines success measures and tracks performance of models;
• 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, reviews 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;
• Preferred Certifications Programming Language/s Certification (SQL, Python, or similar)

Skills

• 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, 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.

Pay & Benefits

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.

HP offers a comprehensive benefits package for this position, including:

• 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)