Applied AI Data Scientist for LLMs & Enterprise Solutions

HP; Spring (TX); On-site; USD 131,000 - 205,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave (4–12 weeks)

Job summary

HP is seeking an AI Data Scientist to design, build, and scale AI-driven solutions that deliver measurable business impact across enterprise operations. The role blends applied research, ML engineering, data science, and business transformation, requiring strong technical depth in LLMs, Generative AI, ML, and large-scale data analysis.

The candidate will translate business needs into technical approaches, develop scalable data pipelines, and collaborate with distributed teams to drive AI

Qualifications

• Bachelor’s/Master’s/PhD in Computer Science, Data Science, Machine Learning, AI, Statistics, Engineering, Mathematics, or 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.

Responsibilities

• Design, develop, and deploy AI-powered solutions leveraging LLMs, Generative AI, ML, and predictive analytics.
• Develop data pipelines, feature engineering approaches, and analytical workflows for AI solution development.
• Research new AI methods, tools, and frameworks and assess their applicability to business problems.
• Design and execute experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
• Analyze large-scale datasets to generate insights, build predictive models, and support operational decisions.

Skills

Python

LLMs / Generative AI

SQL / Spark / Databricks

Communication

Education

Bachelor’s/Master’s/PhD in CS/DS/ML/AI/Stats/Engineering

Tools

Git

Github Copilot

Databricks

Job description

HP is seeking an AI Data Scientist to design, build, and scale AI-driven solutions that deliver measurable business impact across enterprise operations. The role blends applied research, ML engineering, data science, and business transformation, requiring strong technical depth in LLMs, Generative AI, ML, and large-scale data analysis.

The candidate will translate business needs into technical approaches, develop scalable data pipelines, and collaborate with distributed teams to drive AI