Senior Data Scientist, AI & ML Innovator

HP; Austin (TX); On-site; USD 154,000 - 228,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Parental leave

Job summary

HP is seeking a Principal Data Scientist to drive AI/ML initiatives within the Workforce Experience Platform. You will work across a large data lake, prototype models, and deploy solutions for millions of devices, partnering with product and engineering teams.

The role demands advanced degrees and 10+ years in predictive modelling and data science, with expertise in SQL, Python, PySpark, and ML frameworks. Expect a substantial impact on customer experiences and business outcomes.

Qualifications

• Passion for data science & delivering data driven outcomes.
• Advanced knowledge of statistics, mathematics, algorithms and programming.
• Expert knowledge of SQL, Python and PySpark.
• Strong analytical and problem‑solving skills.
• Deep understanding of current ML concepts and tools.

Responsibilities

• Identify AI opportunities, prototype and iterate models and deploy across devices.
• Collaborate with product management to align with product vision.
• Work with data scientists and engineers to deliver the DS roadmap.
• Conduct A/B testing and data-driven experimentation.
• Communicate progress and risks to stakeholders.

Skills

SQL

Python

PySpark

Statistics

Machine Learning concepts

Education

Master’s or PhD in a quantitative field

Tools

Tensorflow/Keras

PyTorch

Spark MLlib

Scikit‑Learn

AWS SageMaker

Azure

Docker

Airflow

Job description

HP is seeking a Principal Data Scientist to drive AI/ML initiatives within the Workforce Experience Platform. You will work across a large data lake, prototype models, and deploy solutions for millions of devices, partnering with product and engineering teams.

The role demands advanced degrees and 10+ years in predictive modelling and data science, with expertise in SQL, Python, PySpark, and ML frameworks. Expect a substantial impact on customer experiences and business outcomes.