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About the Role

The Enterprise Operations Applied AI organization is seeking an AI Data Scientist to design, build, evaluate, and scale AI-driven solutions that deliver measurable business impact across enterprise operations. This role combines applied research, machine learning engineering, data science, and business transformation, focusing on turning emerging AI technologies into practical business solutions.

Responsibilities

• 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.

Requirements

• 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.

Skills

• Large Language Models (LLMs)
• Generative AI
• Machine Learning
• Data Science
• Python
• AI/ML libraries and frameworks
• Model evaluation
• Experimentation
• Performance measurement
• Validation methodologies
• SQL
• Spark
• Databricks
• Retrieval-Augmented Generation (RAG)
• Prompt engineering
• AI agents
• MLOps
• Model monitoring
• Observability
• Enterprise AI governance

Location

• United States of America

Work Type

• Full time

Experience Level

• 3+ years of experience developing AI, machine learning, and data science solutions
• 5+ years of experience developing AI, machine learning, and data science solutions in an industry setting

Education Level

• Bachelor's Degree
• Master's Degree
• PhD

Salary/Compensations

• $130,700 to $205,200 USD annually

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
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave

About the Company

• HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Equal Opportunity

• HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
• Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
• For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"