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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 is at the intersection of applied research, machine learning engineering, data science, and business transformation, requiring a blend of technical expertise and the ability to work effectively in complex enterprise environments.

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.
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.

Skills

Large Language Models (LLMs)
Generative AI
Machine Learning
Data Science
Statistical Analysis
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
Communication
Storytelling
Cross-Functional Collaboration
Ownership
Accountability

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, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field.

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

About the Company

You want to reshape the way the world works. So do we. You’re looking for more than just a job; you’re looking to make a difference. That means creating something new. Something that matters. Something that changes how the world works for the better. A career at HP can help you build the tomorrow you want. Let’s grow together.
Our founders believed that business exists when people work together to ‘accomplish something collectively which they could not accomplish separately.’ We uphold a zero-tolerance policy towards discrimination and treat everyone with respect. By maintaining these principles, we empower the HP team to contribute to our collective success and the future of work.
Learn more about HP personal data practices at Privacy Statement, Personal Data and Accessibility at HP, and Terms.
You can be yourself at HP.

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"