Principal Data Scientist

HP Inc.

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Quick summary

Work type: On-site
Location: Austin, TX
Salary: $154,400–$227,750 / yr
Posted: 6 days ago
Freshness: Confirmed live today
Closes: Apr 19, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k

This role $191k

$117k $240k

below market most similar roles pay here above market

This role pays more than 60% of similar roles. Most pay $154,512–$214,500 — the blue band above. At the midpoint, this role pays about $191k versus about $185k 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 115 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 95 roles with salary data.

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View all roles at HP Inc.

At a glance

TL;DR · Principal Data Scientist

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The Principal Data Scientist joins the AI Systems team within the HP Workforce Experience Platform to drive innovation across a multi-OS Services portfolio. This role involves identifying AI opportunities, prototyping and iterating models, and deploying them across millions of devices. You will work closely with product management and software engineers to deliver a data science roadmap, conduct A/B testing, and provide regular program updates to stakeholders. The position requires expert knowledge of SQL, Python, and PySpark, along with proficiency in machine learning frameworks like TensorFlow, Keras, PyTorch, and Scikit-Learn. Candidates must navigate structured and unstructured data using modern transformation methodologies and cloud tools such as AWS SageMaker, Docker, and Airflow to solve complex real-world customer issues using one of the world's largest data lakes.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

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Skills

Python SQL PySpark Machine Learning TensorFlow Keras PyTorch Scikit-Learn Spark MLlib AWS SageMaker EMR Redshift Azure Docker Airflow MLOps Microsoft Graph API A/B Testing

What you'll do

Identify AI opportunities and prototype, iterate, and deploy models across millions of devices.
Deliver on the Data Science Roadmap in collaboration with software engineers and other data scientists.
Conduct A/B testing and experimentation to validate data-driven outcomes.
Balance business needs with technical constraints by building deep subject matter expertise.
Provide regular updates on program progress, issues, and risks to key stakeholders.
Act as a subject matter expert by providing internal training and product demonstrations.
Create stories and visualizations to communicate complex data insights in a simple manner.
Implement quick action plans to solve day-to-day problems and meet short-term priorities.

What we're looking for

Master’s degree or PhD in a highly quantitative field such as Computer Science, Machine Learning, Statistics, or Mathematics.
10+ years of industry experience in predictive modeling and data science roles.
Expert knowledge of SQL, Python, and PySpark.
Extensive experience using statistics, mathematics, algorithms, and programming languages.
Deep understanding of current Machine Learning concepts, tools, and modern data transformation methodologies.
Experience in one or more machine learning frameworks such as Tensorflow, Keras, PyTorch, Spark MLlib, or Scikit-Learn (preferred).
In-depth knowledge of deep learning areas like LLMs, sentiment analysis, recommendation systems, or computer vision (preferred).
Experience in Cloud computing, MLOps, AWS, Azure, Docker, Airflow, or Microsoft Graph API (preferred).

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