Principal Data Scientist

Information Technology Senior Management Forum; Austin (TX); On-site; USD 154,000 - 228,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Job summary

Information Technology Senior Management Forum in Austin, TX is seeking a Principal Data Scientist to lead AI/ML initiatives on HP’s Workforce Experience Platform AI Systems team. The role focuses on advancing data-driven customer experiences through model development, deployment, and rigorous experimentation at scale.

You will partner with product and engineering leaders to translate vision into predictive capabilities, bring models into production across millions of devices, and mentor teams

Qualifications

• Master’s degree or PhD in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, etc.).
• 10+ years of industry experience in predictive modeling and data science roles.
• Expert knowledge of SQL, Python, and PySpark.
• Experience with structured and unstructured data and modern data transformation methodologies.
• Deep understanding of current machine learning concepts and tools.

Responsibilities

• Work closely with product management to understand the product vision and user engagement strategy for the WSS Managed Insights Team.
• Spot AI opportunities, prototype and iterate models, and deploy them across millions of devices.
• Collaborate with Data Scientists and Software Engineers to deliver items on the Data Science Roadmap in a fast-paced environment.
• Build subject matter expertise to align business needs with technical constraints.
• Maintain focus on strategy and goal-oriented results when solving complex problems.
• Provide regular updates to stakeholders on program progress, issues, and risks.
• Serve as a subject matter expert through internal training and demonstrations of key product functionality.
• Handle day-to-day problem solving and implement quick, effective action plans for priorities.
• Influence decision-making and problem solving across teams.
• Run A/B testing and experimentation to validate and improve outcomes.

Skills

Predictive modeling

Data science

Statistical analysis

Problem solving

Communication of insights

Education

Master’s or PhD in a quantitative field

Tools

SQL

Python

PySpark

TensorFlow/Keras

PyTorch

Spark MLlib

Scikit-Learn

AWS SageMaker

Azure

Docker

Airflow

Microsoft Graph API

Job description

Information Technology Senior Management Forum is hiring a Principal Data Scientist for its Austin, TX onsite role on HP’s Workforce Experience Platform AI Systems team. This position focuses on advancing AI/ML systems and delivering data-driven customer experiences at scale, with model development, deployment, and experimentation at the center of the work.

As part of the WSS Managed Insights Team, you will partner with product and engineering leaders to translate engagement and product direction into predictive capabilities, then bring those models into production across millions of devices.

What you’ll do

• Work closely with product management to understand the product vision and user engagement strategy for the WSS Managed Insights Team.
• Spot AI opportunities, prototype and iterate models, and deploy them across millions of devices.
• Collaborate with Data Scientists and Software Engineers to deliver items on the Data Science Roadmap in a fast-paced environment.
• Build subject matter expertise in your area to align business needs with technical constraints.
• Maintain focus on strategy and goal-oriented results when solving complex problems.
• Provide regular updates to key stakeholders on program progress, issues, and risks.
• Serve as a subject matter expert through internal training and demonstrations of key product functionality for support, sales, onboarding, and other cross-functional teams.
• Handle day-to-day problem solving and implement quick, effective action plans to address short-term priorities and emerging opportunities.
• Influence decision-making and problem solving across teams.
• Run A/B testing and experimentation to validate and improve outcomes.

Qualifications

• 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 modeling and data science roles.
• Strong passion for data science and delivering data-driven results.
• Extensive experience with statistics, mathematics, algorithms, and programming languages.
• Expert knowledge of SQL, Python, and PySpark.
• Strong analytical and problem-solving skills.
• Experience working with structured and unstructured data, including management and modern data transformation methodologies.
• Deep understanding of current machine learning concepts and tools.
• High EQ and the ability to work with ambiguity in a collaborative, fast-paced environment.
• Ability to create clear stories and visualizations that communicate data insights simply.
• Excellent interpersonal and project management skills, with experience working across in-person and virtual teams.
• Hands-on technical skills and curiosity to learn products, make recommendations, and support continuous improvement.
• Ability to work independently while collaborating cross-functionally in a global, multicultural environment.
• Ability to manage multiple work streams and provide timely updates to leadership.
• Comfortable working in new areas that require experimentation and rapid problem solving.

Technologies

• SQL, Python, PySpark
• Tensorflow/Keras, PyTorch, Spark MLlib, Scikit-Learn
• LLMs
• AWS (SageMaker, EMR, Redshift), Azure
• Docker, Airflow
• Microsoft Graph API

Benefits

• Health insurance, dental insurance, and vision insurance
• Long term and short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

Additional preferences

• Experience with machine learning frameworks such as Tensorflow/Keras, PyTorch, Spark MLlib, or Scikit-Learn.
• In-depth knowledge of deep learning areas including LLMs (natural language generation), sentiment analysis, recommendation systems, or computer vision.
• Cloud computing and MLOps experience, including AWS (SageMaker, EMR, Redshift), Azure, Docker, and Airflow.
• Experience with Microsoft Graph API.

Location: Austin, TX (onsite). Schedule: Full time. Compensation: USD 154,400 - 227,750 per year. Shift: No shift premium (United States of America).