Principal Data Scientist

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

Principal Data Scientist Description - Are you passionate about technology and looking to work in an agile start-up environment that is built on the brand recognition, solution capabilities, and global reach of a world-class technology pioneer? The HP Workforce Experience Platform team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning. The AI Systems team within HP Workforce Experience Platform team is seeking a forward-thinking Data Scientist who is passionate about driving innovation at scale, solving real-world customer issues through AI/ML and delivering stellar customer experiences using one of the largest data lakes in the world.

Responsibilities

• Work closely with product management to understand product vision and user engagement strategy for the WSS Managed Insights Team.
• Identify AI opportunities, prototype and iterate models, and deploy them across millions of devices.
• Work with Data Scientists and Software Engineers to deliver on the Data Science Roadmap in a fast-paced environment.
• Balance the business needs with technical constraints by building deep subject matter expertise for your area.
• Maintain the team's focus on strategy and goal-oriented results when tackling complex problems.
• Provide regular updates about program progress, issues, and risks to key stakeholders.
• Act as subject matter expert through internal training and demonstration of key product functionality for support, sales, onboarding, and other cross-functional teams.
• Comfortable with hands‑on, day‑to‑day problem solving and implementing quick and effective action plans to meet short‑term priorities and emerging opportunities.
• Influence decision making and problem solving across teams.
• Conduct A/B testing and experimentation.

Education and Experience

Master’s degree or PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, etc.). 10+ years of industry experience in predictive modelling and data science roles.

Knowledge and Skills

• Passion for data science & delivering data driven outcomes.
• Extensive experience using statistics, mathematics, algorithms, and programming languages.
• Expert knowledge of SQL, Python and PySpark.
• Strong analytical and problem‑solving skills.
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
• Deep understanding of current Machine Learning concepts and tools.
• High EQ, ability to deal with ambiguity and work collaboratively in a high paced environment.
• Create stories and visualizations to describe and communicate data insights in a clean and simple manner.
• Excellent interpersonal and project management skills; ability to work across in‑person and virtual team environments.
• Hands‑on technical skills with the inquisitiveness to learn products, work with them, and provide recommendations to drive continuous improvement.
• Able to work independently yet collaborate cross‑functionally in a global and multicultural environment.
• Able to manage multiple work streams effectively and provide timely updates to leadership.
• Comfortable and effective working in new areas that require experimentation and rapid problem solving.

Preferred

• Experience in one or more machine learning frameworks, such as Tensorflow/Keras, PyTorch, Spark MLlib, or Scikit‑Learn.
• In‑depth knowledge of one or more areas of deep learning, such as natural language generation (LLMs, Sentiment Analysis), recommendation systems, or computer vision.
• Experience in Cloud computing and MLOps, especially tools such as AWS (SageMaker, EMR, Redshift), Azure, Docker, and Airflow.
• Experience with Microsoft Graph API.

The base pay range for this role is $154,400.00 - $227,750.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job‑related knowledge, skills, and experience.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation

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