This role pays more than
61%
of similar roles. Most pay
$126,800–$197,100
— the shaded band above.
At the midpoint, this role pays about
$168k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
104 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 90 roles with salary data.
AI Data Scientist – Enterprise AI joins the Enterprise Operations Applied AI organization to design, build, evaluate, and scale AI-driven solutions that deliver measurable business impact. This role sits at the intersection of applied research, machine learning engineering, and data science to transform enterprise operations through practical, scalable solutions. The successful candidate will develop data pipelines, perform feature engineering, and conduct experiments to evaluate model effectiveness and accuracy. Key responsibilities include researching new AI methods, analyzing large-scale structured and semi-structured datasets, and translating business requirements into technical approaches. Required skills include proficiency in Python, SQL, Spark, and Databricks, alongside expertise in Large Language Models, Generative AI, and Retrieval-Augmented Generation. The role requires experience with MLOps, model monitoring, and cloud environments like Azure, AWS, or GCP to solve complex problems within a collaborative, multi-disciplinary team environment.
Artificial Intelligence
Machine Learning
Python
Tableau
Power BI
Data Science
Data Analysis
Network Defense
Signals Intelligence
Information Operations
Electronic Warfare
Data Science
Machine Learning
Deep Learning
Python
Generative AI
Statistical Analysis
Data Engineering
Data Pipelines
Data Lakes
Predictive Modeling
Model Evaluation
Data Preparation
Algorithms
Analytics Frameworks