AI Data Scientist - Enterprise AI

This position supports the Enterprise Operations Applied AI organization’s mission of enabling AI-powered transformation through applied research, scalable solutions, responsible AI practices, and cross-functional collaboration., * Design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Generative AI technologies, machine learning, and predictive analytics.

• Develop data pipelines, feature engineering approaches, and analytical workflows that support AI solution development.
• Research new AI methods, tools, and frameworks and determine their applicability to business problems across enterprise operations.
• Design and execute experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
• Analyze large-scale structured and semi-structured datasets to generate insights, build predictive models, and support operational decision-making.
• Translate business requirements into technical approaches and clearly communicate AI concepts to both technical and non-technical audiences.
• Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement.
• Collaborate with distributed teams of engineers, data scientists, product owners, business leaders, and other technology organizations to deliver impactful solutions.
• Contribute to AI best practices, reusable frameworks, and technical standards across the organization., * Demonstrates technical depth in LLMs, machine learning, and data science while maintaining a practical focus on implementation.
• Communicates clearly with product managers, engineers, and operational teams.
• Takes ownership of outcomes and proactively drives work forward without waiting for direction.
• Continuously identifies opportunities to improve processes, solutions, and ways of working.

Core Competencies

• Applied AI & Machine Learning
• Large Language Models (LLMs) & Generative AI
• Data Science & Statistical Analysis
• Enterprise Problem Solving
• Experimentation & Model Evaluation
• Communication & Storytelling
• Cross-Functional Collaboration
• Ownership & Accountability

The ideal candidate combines strong technical expertise in Large Language Models (LLMs), Generative AI, machine learning, and large-scale data analysis with the ability to work effectively in complex enterprise environments on multidisciplinary teams. Success in this role requires curiosity, initiative, strong communication skills, and a passion for turning emerging AI technologies into practical business solutions., * Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field.

• 3+ years of experience developing AI, machine learning, and data science solutions.
• Proficiency in Python and modern AI/ML libraries and frameworks.
• Experience with model evaluation, experimentation, performance measurement, and validation methodologies.
• Strong analytical skills with experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies.
• Ability to collaborate effectively in culturally diverse and distributed teams., * 5+ years of experience developing AI, machine learning, and data science solutions in an industry setting.
• Experience developing AI solutions in cloud environments such as Azure, AWS, or GCP.
• Proficiency using software development tools such as version control (e.g. Github) and AI-assisted development tools (e.g. Github Copilot)
• Experience with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents.
• Familiarity with MLOps, model monitoring, observability, and enterprise AI governance concepts.
• Experience communicating technical concepts to business stakeholders.
• Experience working in highly collaborative, matrixed organizations.

The pay range for this role is $130,700 to $205,200 USD annually with additional, 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 https://hpbenefits.ce.alight.com