AI Data Scientist – Enterprise AI

Description -

Enterprise Operations Applied AI Organization

Overview

The Enterprise Operations Applied AI organization is seeking an AI Data Scientist to help design build evaluate and scale AI-driven solutions that deliver measurable business impact across enterprise operations. This role sits at the intersection of applied research machine learning engineering data science and business transformation.

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.

This position supports the Enterprise Operations Applied AI organizations mission of enabling AI-powered transformation through applied research scalable solutions responsible AI practices and cross-functional collaboration.

Key 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.

Required Qualifications

• Bachelors Masters 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.

Preferred Qualifications

• 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.

What Success Looks Like

A successful AI Data Scientist Enterprise AI:

• Builds AI solutions that move beyond prototypes and create measurable business value.
• 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

This role is ideal for someone who enjoys combining research engineering analytics and business partnership to transform enterprise operations through practical and scalable AI solutions.

Pay & Benefits

The pay range for this role is $130700 to $205200 USD annually with additional

opportunities for pay in the form of bonus and/or equity (applies to United

States of America candidates only). Pay varies by work location job-related

knowledge skills and experience.

Benefits:

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 compensation and benefits information is accurate as of the date of this

  posting. The Company reserves the right to modify this information at any time

  with or without notice subject to applicable law.

  Job -

  Software

  Schedule -

  Full time

  Shift -

  No shift premium (United States of America)

  Travel -

  No

  Relocation -

  Not Specified

  Equal Opportunity Employer (EEO) -

  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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal