AI Data Scientist – Enterprise AI

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 organization's 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

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.

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 $130,700 to $205,200 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 https://hpbenefits.ce.alight.com/

The 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

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.